{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "端午节过后第二天，更新一波公众号，这次主要分享如何使用python优雅简洁地创造一个opensees有限元模型，并进行地震分析，并对结果后处理。说优雅和简洁可能吹牛了一些，我这及格线的水平，勉强称得上方便吧。水平有限，肯定有更优雅的方法，在这里抛砖引玉，希望大家可以多提意见。\n",
    "\n",
    "下面就以一个桥墩模型，看看我们如何参数化地完成其非线性动力时程分析。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 导入模块"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "首先，我们需要引入openseespy模块并命名为ops，以及numpy和matplotlib模块.导入h5py来将结果保存成hdf5文件。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.pyplot._xkcd at 0x2169688d520>"
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import h5py\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import openseespy.opensees as ops\n",
    "\n",
    "plt.xkcd(scale=1,length=400)   # 手绘风格的图，如不喜欢，删除就可以"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 创建模型、材料与截面"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "关于单位没有特定的要求，任何单位系统都可使用，只要量纲一致就行。我这里选用 kN，m，s这个系统，那么对应的应力就是kPa，质量就是ton。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 维度与自由度设置"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "先清除一下现有模型，习惯了，虽然前面没有任何模型数据，不过这条命令在你分析完成时最好再运行一下，因为有时候recorder命令会结果保存不全"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [],
   "source": [
    "ops.wipe() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "接下来模型维度与自由度，虽然2维3自由度对本例就够了，但是为了一般化，还是设置了三维六自由度，维度和自由度增加会拖慢模型运算速度，以及加大内存使用，最好根据自己情况选用。\n",
    "\n",
    "ndm 就是维度， ndf为自由度。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {},
   "outputs": [],
   "source": [
    "ndm, ndf = 3, 6\n",
    "ops.model('basic', '-ndm', ndm, '-ndf', ndf) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 坐标几何变换"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "因为桥墩是竖直单元，我们也提前为其设置坐标变换，坐标变换主要是将梁柱单元在局部坐标系和整体坐标系之间进行变换，更详细信息，看这篇推文吧。\n",
    "\n",
    "梁柱单元可选三种坐标变换，线性变换，考虑 $P-\\delta$ 效应，以及大位移小应变三种。都很简单，一条命令即可实现。因为是竖直构件，我们默认是沿着整体z轴向上的，所以我推荐设置如下的局部坐标系：局部x轴沿着梁单元指向整体正Z轴，局部y轴和整体正y轴重合，然后局部z轴根据右手法则自然指向整体负X轴了。那么对应的定位向量就是(-1, 0, 0)。觉得抽象的，可以先理解下opensees中梁单元的坐标变换规则。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {},
   "outputs": [],
   "source": [
    "transfTag = 1   # 坐标变换身份证\n",
    "transfType = 'PDelta'  # or 'Linear'\n",
    "vecxz = [-1, 0, 0]   # 辅助定位向量\n",
    "ops.geomTransf(transfType, transfTag, *vecxz)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 材料设置"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "因为是钢筋混凝土构件，我们需要为混凝土和钢筋设置材料，混凝土分为保护层混凝土和核心区混凝土，因为材料强度等参数不一样，我们设置两个混凝土材料。材料选用“concrete01”材料，参数我这里比较随意设置的。具体使用时可根据规范查取，约束取的很凝土可根据 Mander 模型算一下。注意应力是kPa, 因为仅考虑受压，所以所有值都为负值。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 无约束混凝土"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [],
   "source": [
    "matTagC, fpc1, epsc1, fpcu1, epsu1 = 1, -30.E3, -0.002, -10.E3, -0.005\n",
    "ops.uniaxialMaterial('Concrete01', matTagC, fpc1, epsc1, fpcu1, epsu1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 受约束混凝土"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {},
   "outputs": [],
   "source": [
    "matTagCC, fpc2, epsc2, fpcu2, epsu2 = 2, -40.E3, -0.006, -25.E3, -0.015\n",
    "ops.uniaxialMaterial('Concrete01', matTagCC, fpc2, epsc2, fpcu2, epsu2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 钢筋材料"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "选用 “steel02”材料"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {},
   "outputs": [],
   "source": [
    "matTagS, Fys, Es, bs = 3, 300.E3, 2.E8, 0.02\n",
    "ops.uniaxialMaterial('Steel02', matTagS, Fys, Es, bs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "为了防止无限强化，我们使用'MinMax'材料在极限应变0.15处截断，这里我们假定0.15是钢筋断裂应变"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {},
   "outputs": [],
   "source": [
    "matTagSS = 4\n",
    "ops.uniaxialMaterial('MinMax', matTagSS, matTagS, '-min', -0.15, '-max', 0.15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 建立桥墩横截面"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "这里我们分析的是圆形钢筋混凝土截面，我们看一下如何参数化这个截面。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "metadata": {},
   "outputs": [],
   "source": [
    "pier_d = 1.5         # 截面直径 1.5m\n",
    "pier_cover = 0.06    # 保护层厚度 0.06m\n",
    "bar_d = 0.020        # 钢筋直径 0.026m\n",
    "bar_rho = 0.02       # 配筋率,我们可以根据配筋率反算钢筋数量\n",
    "Ec = 3.5E7           # 混凝土弹性模量\n",
    "Gc = 0.425 * Ec      # 混凝土剪切模量\n",
    "\n",
    "pier_area = np.pi * pier_d ** 2 / 4       # 墩面积\n",
    "pier_J = 0.5 * np.pi * (pier_d / 2) ** 4  # 截面扭转惯性矩\n",
    "bar_area = np.pi * bar_d ** 2 / 4         # 单个钢筋面积\n",
    "bar_area_all = pier_area * bar_rho        # 所有钢筋总面积\n",
    "bar_num = int(bar_area_all / bar_area)    # 钢筋数量"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "利用上述参数进行截面创建"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 定义墩纤维截面\n",
    "PierSecTag = 1    # 墩截面身份证号\n",
    "ops.section('Fiber', PierSecTag, '-GJ', pier_J * Gc)\n",
    "# 保护层部分，20为圆周向划分数量，1为径向划分数量\n",
    "ops.patch('circ', matTagC, 20, 1, *[0, 0], \n",
    "          *[pier_d / 2 - pier_cover, pier_d / 2], \n",
    "          *[0, 360])\n",
    "# 核心层部分，20为圆周向划分数量，6为径向划分数量\n",
    "ops.patch('circ', matTagCC, 20, 6, *[0, 0], \n",
    "          *[0, pier_d / 2 - pier_cover], \n",
    "          *[0, 360])\n",
    "# 钢筋部分\n",
    "ops.layer('circ', matTagS, bar_num, bar_area, *[0, 0],\n",
    "            pier_d / 2 - pier_cover - bar_d / 2, \n",
    "            *[0.0, 360.0 - 360 / bar_num])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "此时，这个钢筋混凝土是完全参数化的，完全可以更改前面的参数来生成不同的钢筋混凝土截面"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 模型节点、单元、质量"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "为了方便追踪模型，我们设置如下的参数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "metadata": {},
   "outputs": [],
   "source": [
    "node_tag_current = 1    # 当前的节点号\n",
    "ele_tag_current = 1     # 当前的单元号"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "为了方便设置节点质量，我们设置如下参数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {},
   "outputs": [],
   "source": [
    "rho_c = 2.55            # 混凝土质量密度， 2.55 吨 /m3\n",
    "ele_unit_mass = dict()  # 一个空字典用来储存每个单元的单位长度质量"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "开始桥墩创建"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "metadata": {},
   "outputs": [],
   "source": [
    "pier_height = 10    # 墩高10m\n",
    "# 桥墩的单元划分数目，\n",
    "# 我们打算使用位移插值单元，当使用力元时，可以减少单元数目\n",
    "pier_ele_num = 10\n",
    "# 每个单元的长度\n",
    "pier_ele_len = pier_height / pier_ele_num"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "创建节点并保存节点号"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {},
   "outputs": [],
   "source": [
    "pier_node_tags = []    # 用来保存墩节点号\n",
    "for i in range(pier_ele_num + 1): # 注意py索引从0开始，而且节点数目比单元数目多1个\n",
    "    x, y, z = 0, 0, i * pier_ele_len\n",
    "    ops.node(node_tag_current, x, y, z)\n",
    "    pier_node_tags.append(node_tag_current)\n",
    "    node_tag_current += 1   # 更新节点号"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们看一下保存的节点号，11个节点，ok"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]"
      ]
     },
     "execution_count": 217,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pier_node_tags"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "固定下底部节点号"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {},
   "outputs": [],
   "source": [
    "ops.fix(pier_node_tags[0], 1, 1, 1, 1, 1, 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "接下来来创建单元，首先我们需要先创建一个截面积分点命令"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "metadata": {},
   "outputs": [],
   "source": [
    "colIntegratag = 1     # 积分点身份证号\n",
    "num_integrate = 5     # 每个单元5个积分点\n",
    "ops.beamIntegration('Legendre', colIntegratag, PierSecTag, num_integrate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "metadata": {},
   "outputs": [],
   "source": [
    "pier_unitmass = pier_area * rho_c    # 桥墩单元单位长度重量\n",
    "pier_ele_tags = []    # 用来保存墩单元号\n",
    "for i in range(pier_ele_num): # \n",
    "    nodeI = pier_node_tags[i]\n",
    "    nodeJ = pier_node_tags[i + 1]\n",
    "    ops.element('dispBeamColumn', ele_tag_current, *[nodeI, nodeJ], \n",
    "                transfTag, colIntegratag)\n",
    "    pier_ele_tags.append(ele_tag_current)\n",
    "    # 添加单元单位长度质量\n",
    "    ele_unit_mass[ele_tag_current] = pier_unitmass\n",
    "    ele_tag_current += 1   # 更新单元号"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]"
      ]
     },
     "execution_count": 221,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pier_ele_tags    # 单元号列表"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{1: 4.506221962492859,\n",
       " 2: 4.506221962492859,\n",
       " 3: 4.506221962492859,\n",
       " 4: 4.506221962492859,\n",
       " 5: 4.506221962492859,\n",
       " 6: 4.506221962492859,\n",
       " 7: 4.506221962492859,\n",
       " 8: 4.506221962492859,\n",
       " 9: 4.506221962492859,\n",
       " 10: 4.506221962492859}"
      ]
     },
     "execution_count": 222,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ele_unit_mass  # 单位长度质量字典，键：单元号，值：单位长度质量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from ops_sec_vis import ops_sec_vis\n",
    "ops_sec_vis(1, sec_num=1, rebar_d=bar_d, color=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 创建节点质量"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们接下来创建节点质量，我们马上就能看到为啥要设置单元单位长度质量字典了,它将完全自动化运行"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {},
   "outputs": [],
   "source": [
    "node_mass = dict()   # 一个字典来储存每个节点的质量\n",
    "for eletag, unitmass in ele_unit_mass.items():   # 其中每个单元号,每个单位长度质量\n",
    "    nodetag1, nodetag2 = ops.eleNodes(eletag)   # 获取这个单元的节点号，因为是梁单元，所以是两端两个节点号\n",
    "    node1_coords = np.array(ops.nodeCoord(nodetag1))  # i端节点的坐标\n",
    "    node2_coords = np.array(ops.nodeCoord(nodetag2))  # j端节点的坐标\n",
    "    length = np.sqrt(np.sum((node1_coords - node2_coords) ** 2))  # 单元长度\n",
    "    mass = unitmass * length   # 单元总质量\n",
    "    # 对质量进行分配，平均到两个节点上\n",
    "    for tag in [nodetag1, nodetag2]:\n",
    "        if tag not in node_mass.keys():   #如果节点号还没有\n",
    "            node_mass[tag] = mass / 2\n",
    "        else:  # 如果已存在\n",
    "            node_mass[tag] += mass / 2   # "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们在墩顶部节点再增加一个质量块，别忘了我们的 pier_node_tags有保存好的节点"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {},
   "outputs": [],
   "source": [
    "MassTop = 100   # 顶部增加一个100ton的质量\n",
    "tag = pier_node_tags[-1]   # -1 来索引最后一个，即顶部节点号\n",
    "node_mass[tag] += MassTop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{1: 2.2531109812464294,\n",
       " 2: 4.506221962492859,\n",
       " 3: 4.506221962492859,\n",
       " 4: 4.506221962492859,\n",
       " 5: 4.506221962492859,\n",
       " 6: 4.506221962492859,\n",
       " 7: 4.506221962492859,\n",
       " 8: 4.506221962492859,\n",
       " 9: 4.506221962492859,\n",
       " 10: 4.506221962492859,\n",
       " 11: 102.25311098124644}"
      ]
     },
     "execution_count": 226,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "node_mass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "创建节点质量命令，自动化运行！！！"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "metadata": {},
   "outputs": [],
   "source": [
    "for nodeTag, mass_value in node_mass.items():\n",
    "    ops.mass(nodeTag, mass_value, mass_value, mass_value, 0, 0, 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 创建重力荷载"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "完全根据node_mass自动化运行，一个循环搞定"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "metadata": {},
   "outputs": [],
   "source": [
    "g = 9.81 # 重力加速度 9.81 m/s2\n",
    "\n",
    "patternTag = 1\n",
    "tsTag = 1\n",
    "ops.timeSeries('Linear', tsTag)\n",
    "ops.pattern('Plain', patternTag, tsTag)\n",
    "# Create nodal loads\n",
    "#    nd  FX,  FY, Fz, MX, MY, MZ\n",
    "for nodeTag, mass_value in node_mass.items():\n",
    "    ops.load(nodeTag, 0, 0, -g * mass_value * 1.15, 0, 0, 0)   # 放大 1.15倍考虑其他效应"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 重力分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 实施重力分析\n",
    "n_steps = 10    # 分析步数\n",
    "ops.wipeAnalysis()\n",
    "ops.system('BandGeneral')\n",
    "ops.constraints('Transformation')\n",
    "ops.numberer('RCM')\n",
    "ops.test('NormDispIncr', 1.0e-12, 10, 3)\n",
    "ops.algorithm('Newton')\n",
    "ops.integrator('LoadControl', 1 / n_steps)\n",
    "ops.analysis('Static')\n",
    "ops.analyze(n_steps)\n",
    "ops.loadConst('-time', 0.0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "别忘了ops.loadConst('-time', 0.0) 来重置时间以及让以前的重力荷载保持常数，不然他会一直线性增加，因为我们以前设置的'Linear'时间序列对象,这个命令位置别乱放，血的教训"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 地震响应分析"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 阻尼模型"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "时程分析前我们设置瑞丽阻尼模型，采用前两个振型，"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "周期1:0.49482695283718964 周期2:0.49482695283716427\n"
     ]
    }
   ],
   "source": [
    "# 瑞利阻尼\n",
    "xDamp = 0.05   # 阻尼比\n",
    "nEigenI = 1  # mode 1\n",
    "nEigenJ = 2  # mode 2\n",
    "MpropSwitch = 1.0\n",
    "KcurrSwitch = 0.0\n",
    "KcommSwitch = 1.0\n",
    "KinitSwitch = 0.0\n",
    "lambdaN = ops.eigen(nEigenJ)  # eigenvalue analysis for nEigenJ modes\n",
    "lambdaI = lambdaN[nEigenI - 1]  # eigenvalue mode i\n",
    "lambdaJ = lambdaN[nEigenJ - 1]  # eigenvalue mode j\n",
    "omegaI = np.sqrt(lambdaI)\n",
    "omegaJ = np.sqrt(lambdaJ)\n",
    "print(f\"周期1:{2*np.pi/omegaI} 周期2:{2*np.pi/omegaJ}\")\n",
    "# M-prop. damping; D = alphaM*M\n",
    "alphaM = MpropSwitch * xDamp * (2 * omegaI * omegaJ) / (omegaI + omegaJ)\n",
    "# current-K;      +beatKcurr*KCurrent\n",
    "betaKcurr = KcurrSwitch * 2. * xDamp / (omegaI + omegaJ)\n",
    "# last-committed K;   +betaKcomm*KlastCommitt\n",
    "betaKcomm = KcommSwitch * 2. * xDamp / (omegaI + omegaJ)\n",
    "betaKinit = KinitSwitch * 2. * xDamp / (omegaI + omegaJ)  # initial-K;     +beatKinit*Kini\n",
    "ops.rayleigh(alphaM, betaKcurr, betaKinit, betaKcomm)  # RAYLEIGH damping"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 设置地震荷载序列"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "两个水平方向都加了地震波"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "metadata": {},
   "outputs": [],
   "source": [
    "GMdata = np.loadtxt(\"ELCENTRO_EW.txt\")  # 第1列时间，第2列数据\n",
    "dt = GMdata[1,0] - GMdata[0,0]\n",
    "tsg = GMdata[:, 1]   # 地震波数据\n",
    "tsg *= 1 / np.max(np.abs(tsg))      # 缩放至1g\n",
    "GMfatt = g          # data in input file is in g Unifts\n",
    "GMdirectionH1 = 1  # ground-motion direction 水平方向1\n",
    "GMdirectionH2 = 2  # ground-motion direction 水平方向2\n",
    "\n",
    "# 定义时间序列 与加载模式\n",
    "ts_tagH1 = 2\n",
    "ts_tagH2 = 3\n",
    "ops.timeSeries('Path', ts_tagH1, '-dt', dt,\n",
    "                '-values', *tsg, '-factor', GMfatt)\n",
    "ops.timeSeries('Path', ts_tagH2, '-dt', dt,\n",
    "                '-values', *tsg, '-factor', GMfatt * 0.75)   #第2方向乘以0.75，以区分二者\n",
    "ops.pattern('UniformExcitation', 2, GMdirectionH1, '-accel', ts_tagH1)\n",
    "ops.pattern('UniformExcitation', 3, GMdirectionH2, '-accel', ts_tagH2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2169cc50520>]"
      ]
     },
     "execution_count": 232,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(GMdata[:,0], GMdata[:,1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 地震响应分析"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "接着重力分析进行，继承了重力分析的结果"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "分析参数设置"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "metadata": {},
   "outputs": [],
   "source": [
    "ops.wipeAnalysis()\n",
    "ops.constraints('Transformation')\n",
    "ops.numberer('Plain')\n",
    "ops.system('BandGeneral')\n",
    "Tol, maxNumIter = 1e-12, 100\n",
    "ops.test('EnergyIncr', Tol, maxNumIter)\n",
    "ops.algorithm('Newton')\n",
    "\n",
    "NewmarkGamma = 0.5\n",
    "NewmarkBeta = 0.25\n",
    "ops.integrator('Newmark', NewmarkGamma, NewmarkBeta)\n",
    "ops.analysis('Transient')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "看看我们如何保存参数，一步一步地分析，并在每步保存参数"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 提取结果"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在提取结果前，我们需要确定我们需要提什么数据。我这里想提每个节点的位移和加速度响应，墩底反力数据，每个墩单元的截面力-变形数据。看看如何实现。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "先初始化一个结果字典，其中每一项都是一个空列表，来保存每一步的结果。为什么要用字典呢，因为后面我想保存成hdf5文件，这样非常方便。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "metadata": {},
   "outputs": [],
   "source": [
    "Results = {\n",
    "    \"Time\": [],\n",
    "    \"NodeDisp\": [],\n",
    "    \"NodeAcc\":[],\n",
    "    \"BaseReaction\":[],\n",
    "    \"EleSec\":[],\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们还需要一些临时的列表来保存结果，因为多个节点与截面的响应我们想保存成一个数组，每一行则为一个节点或截面的响应。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "metadata": {},
   "outputs": [],
   "source": [
    "Nsteps = len(tsg)  # 提取出对应该地震波 GMtag 的总步数\n",
    "for i in range(Nsteps):\n",
    "    ops.analyze(1, dt)   # 一次分析一步\n",
    "    # 临时列表\n",
    "    temp_node_disp = []\n",
    "    temp_node_acc = []\n",
    "    temp_ele_sec = []\n",
    "    # 节点响应\n",
    "    for nodetag in pier_node_tags:\n",
    "        temp_node_disp.append(ops.nodeDisp(nodetag))\n",
    "        temp_node_acc.append(ops.nodeAccel(nodetag))\n",
    "    # 墩底反力\n",
    "    ops.reactions('-dynamic')\n",
    "    Reaction = ops.nodeReaction(pier_node_tags[0])   # 第1个节点就是墩底节点\n",
    "    \n",
    "    # 单元截面变形, 每行为一个积分点截面，每num_integrate个则为一个桥墩\n",
    "    for eletag in pier_ele_tags:   #墩单元号\n",
    "        for seci in range(num_integrate):  # 每个单元的积分点截面数目\n",
    "            data = ops.eleResponse(eletag, \n",
    "                                   'section', f'{seci+1}', 'forceAndDeformation')\n",
    "            temp_ele_sec.append(data)\n",
    "            \n",
    "    # 下面我们保存该步的结果\n",
    "    Results['Time'].append(ops.getTime())\n",
    "    Results[\"NodeDisp\"].append(temp_node_disp)\n",
    "    Results[\"NodeAcc\"].append(temp_node_acc)\n",
    "    Results[\"BaseReaction\"].append(Reaction)\n",
    "    Results[\"EleSec\"].append(temp_ele_sec)\n",
    "ops.wipe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们再转换一下成为numpy数组吧。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "metadata": {},
   "outputs": [],
   "source": [
    "for key in Results.keys():\n",
    "    Results[key] = np.array(Results[key])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "保存成hdf5文件,看到了没，用字典就是如此简洁"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 保存结果\n",
    "file_name = 'Results.hdf5'\n",
    "with h5py.File(file_name, 'w') as f:\n",
    "    for key in Results.keys():\n",
    "        f.create_dataset(key, data=Results[key])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 后处理"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们可以直接读取运行内存中的数据，也可以读取已经保存好的hdf5文件。我这里读取一下hdf5文件吧。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_name = 'Results.hdf5'\n",
    "Results = dict()\n",
    "with h5py.File(file_name, 'r') as f:\n",
    "    for key in f.keys():\n",
    "        Results[key] = f[key][...]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 绘制节点位移图，"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 239,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2674, 11, 6)\n"
     ]
    }
   ],
   "source": [
    "Time = Results['Time']\n",
    "NodeDisp = Results[\"NodeDisp\"]\n",
    "print(NodeDisp.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以看出来第1维度是时间步，第2维度是不同的节点，第3维度是六个自由度上的响应，想画哪个直接取索引就可以了，注意索引从0开始。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "墩顶节点的时程位移，x向和y向"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fig, ax = plt.subplots(figsize=(10,4))\n",
    "ax.plot(Time, NodeDisp[:, 10, 0], c='b', label='X向')   # x向\n",
    "ax.plot(Time, NodeDisp[:, 10, 1], c='r', label='Y向')   # y向\n",
    "ax.tick_params(labelsize=15, width=1, length=6)\n",
    "ax.legend(prop={\"family\":\"SimSun\", \"size\":18})\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "沿桥墩高度的峰值位移,x向"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# pier_ele_len\n",
    "height = [i*pier_ele_len for i in range(pier_ele_num+1)]\n",
    "Data = np.max(np.abs(NodeDisp), axis=0)    # axis=0意味着沿时间尺度取最大值\n",
    "fig, axs = plt.subplots(1,2, figsize=(10,10))\n",
    "axs[0].plot(Data[:, 0], height,  c='b', label='X向')   # x向\n",
    "axs[1].plot(Data[:, 1], height,  c='r', label='Y向')   # y向\n",
    "for ax in axs:\n",
    "    ax.tick_params(labelsize=15, width=1, length=6)\n",
    "    ax.legend(prop={\"family\":\"SimSun\", \"size\":18})\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 绘制基地反力与墩顶位移滞回图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2674, 11, 6)\n",
      "(2674, 6)\n"
     ]
    }
   ],
   "source": [
    "Time = Results['Time']\n",
    "NodeDisp = Results[\"NodeDisp\"]\n",
    "print(NodeDisp.shape)\n",
    "Reaction = Results[\"BaseReaction\"]\n",
    "print(Reaction.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以看得出来，反力只有两个维度，第1维为时间，第2维为六个自由的反力"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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IiGB70cqVbPvYs4drlQC8RDhnTtqP11Pu3eMsAwBnHQ4K4lle5cqsyHfv9u/4JOmXu3fvIjY2NjkgsFWrVsidOzd+/vlnTT+1MjUajbh586bG7hEaGor169drapSnFa5kZ4afeQQFBSVHcXqKUB737rFXRcuWvGwhGDyYhfqcOey660jxf/89C3EAWLiQ03S4S5MmbJzfvZttKzVr2vfwSkxk5XHlCgvixYvZO2zGDG5ly3LixJdfZiGeFrz2Gs8WvvuOZxV169pGrG/YALRvr3yuVIlnam3bar+vnDnZq0wsR7z+Oi/zpdabJTVMnMjLim3a8HgFHTrwcua6dfw3IUkbMsvM4+jRo5g8eTIMBgNu376NQoUK4cyZM8leV4ULF0ab/wx/6qy2BoPBrk3kwYMHiIqKQvbs2XHq1ClNbEhqcCk7KYPTrl07ql69eoqOnTuXCCDq18/+/oQEogIFuM8ff9jvs3IlkV7Pfb76yvMxLFzIx774omfHWSxEBw8SjRhBVKgQn0O0atWIJk8munLF8/EIzGaiPHm0582Rg+jhQ95/4gTRc89p93/3HZHJ5Py8R45oj+nXj79nX3P8OJFOR2Q0Ep09q9134ACPrUQJ/p4lacPDhw/p33//9fcwAor58+dTr169nPa5desWffvtt1S4cGECQMuWLXP7/GfOnHG4z5Xs9IryWLFiBTVs2JCaNWtGDRo0oNq1a1P9+vWpUqVKtH///uR+iYmJNH36dCpTpgzlz5+fXnnlFbp69armXBaLhZYuXUpVqlShPHnyULt27ejkyZNuj6Vjx45UuXLlFN3HmjUsJNq2ddxn+HDuM2GC7b4tW4iCgnj/pEkpGgJdusTH587NAjslJCUR/e9/RP37E+XMqRXODRoQzZxJdPu2Z+f86y8+Pnt2oooVlfNVqcLn1Om01/HkMaVFC+1xTZsqSik1XL7Mv+WePc77WSx8TYB/X2vMZqLChXn/0aOpH5eEiYqKohs3bvh7GAHFpk2baOPGjW71vXv3Ln366adk8eCJxpnycCU7vbZstX//frRs2RKFCxeG0WhEUlISSpQogfLlywPg6djzzz+P7du3o0+fPihatCh++OEHbN68GUePHkWxYsUAAG+++Sa++eYbdOjQAV26dMHKlStRu3Zt7N271618LyEhIUhw5c7kAGFvuHDBcZ+WLXlZ6H//Az7+WNm+bx/QsSO7+Y0cCbz3XoqGgFKluJTrtWu8rCPSlniCwcBZeps351iFLVvYcL9uHadH//13XlZr3pwrCer17JaoFuHCTZKI9wmbxJMnvFwlDNyOUrgYDNw3e3bX4x09Gti+nd+L8rvNm3OG4dTke1uwgA3dmzY5twGtXcvXzJOHjeTW6PW8FPfdd9w3ta7aEiazLFt5QhsP/Nbz58+PcePGpdm1XcpOt1WUB6xYsYIA0LVr1xz2WbhwIQGgDRs2JG+LjIyk3Llz0+uvv05ERL///jsBoC+//DK5T2JiIlWtWpWaN2/u1lh69epFpUqVStF9JCQQZc3K4nP9evt9oqOJDAZu0dG87fBhXsIRyy6pXdro3Tvly17OePyYaMkSovbteXnGeqaQFm3CBKLKlfm9qyd+gcVC9PTTfMz77/PyEEC0YkXq7lfMEp391cfHE5Uty32+/tpxv40buc8zz6RuTBKF6OhopzJDkvY4m3m4kp1e8ba6e/cujEYj7t69i7Fjx6JHjx54//33ERkZmdxn+fLliIiIwPPPP5+8LU+ePOjWrRs2btwIIsLy5ctRtGhRDBs2LLlPUFAQ+vfvjz179uCxiCxzgpj1pITgYOCDD/h9v372K/KFhbEB22zm2caZM0Dr1uyN07UrP52m1uDbtCm/prV3T2goG9HXreN7W7SIi0+NHm1b0bBfP6BZM9tz5MzJXmQzZnBtkLVrlX0FCrBnWb16/Pmvv9wbl07H7rAAe2O9/Ta//+orT+7OFnWKfUfMmsVeb+Hh7BDhiObNeRZ17Jg2DkgiySi4lJ1eUGY0YcIEAkAAqGjRotSoUSPKnj07FStWjB4+fEhJSUmUNWtWmjx5ss2x06dPJwB0//59evrpp6lPnz42fbZs2UIANPYTIqKYmBi6d+8eRUVF0ePHj8lisdCAAQOoUKFCKb4Xs5moWTPF9mFvFvHOO7z/ueeIihRR+qaVofeff/icefKk3O7hLgcOEBUs6P7MYsoU23OsW0dUpgw/nRMRjRvHfT/5xPX1Dx7kGUZCAlHRosqMI1cufn/oUMru68YN7biTkmz73LmjzBg3bXJ9zo4due/s2Skbk0TL48ePbWyeEu9hsViczjxcyU6vzDxu374NABgxYgSuXr2KvXv34vDhw7h79y7mz5+PJ0+eIC4uDoULF7Y5Nud/0XaJiYm4e/eu0z7W63GzZs1C+fLlUaxYMRQoUAB///13qmYegJLIL3duXitXP/0mJXFWWPFEu2ULcPMmxzD88kvaBZCVLs0xGw8eeD8t/OjRPAupXp2DGq1tLOHh/GQusOcG3r499xHurSLg8dEjx9d9/JjrptStyzO248eVJJRz5vA+gG02KcE6buTmTds+777LM8Y2bdxLkSJifkQgpyR1SJuHb3H1XbuSnV5RHs2bN8f777+PadOmJQe0VKxYEfXr18eBAweQPXt26PV6REdH2xwrtoWGhiJnzpxO+4SFhWm2jx07Fg8ePMDjx48RGxuL8PDwFGfVVVOsmFK+dfRooGdPzjWVLx/QoAEbnAXdu3MupLQsV6vTKUtXu3al3XmtOX0a2L+f3xcoAHz6qW3NjbNneYlKsHmz6/OqlUdiIl9j7lw20rduzYo5Rw6OgRE0bw4MHMhLQzt28PcMsKFftfrpFgkJtilk/isXncyJE7zsZjQC06a5d97nn+ffZscOVjqS1CEMtHFxcf4eSqYgPj7eaR10V7LTK8rj5ZdfxqRJk2zC5UNDQxEZGQmDwYB8+fLhpp3Hv0uXLqFEiRIICwtDgQIFHPbR6/WoWLGiy7EEBwenWnkAnEbjm284f9SSJcCqVSwMy5Xj7LqC3r3ZDpLWRETwa1rYPRw9cKiV4LZtHFHdrx/bKoj4/g0GTssi+OMPjh53hpAFc+eywm3UiO0JM2bwdeyVpH3yhAMMxYxj7VrguedYEeTLx/VOGjXifq5YsYIDPatV498R4Ky4AiJWZBYL/5Zu/FkBAPLnZ6VmMvF9SFKH0WhEgQIFcOPGDfzzzz+4fv26nIl4CSJCZGQksjtxf3QlO30WYZ6YmIhjx46hXbt2AIAGDRpg27ZtmDx5cnIfIsK2bduSc9M3bNgQ3377LRITEzX5XrZt24bKlSu7zEAJ8B9kWigPgKOeGzYEfvqJU2m0bKm48+bMyU/qO3Zoo5HTCmGsXr+e3YKffTZl59m8maPMlywBihRhodqiBe8TRmqAjdQjRgDqVcPXXwfq1AGGDGG3WUGPHuwo0LMnC/OYGI4O//13YONGJTswwMtTlSpx4sNz5zjFiZqSJRXB3rs3Kxi9nserXgY8f57b9u3ACy84vl8iJS3M0KE8TkA781i3zrlrrjM6dOCZ1Lp1imKSpJxcuXIhZ86cSExMxPXr1/H3fz7gOp0u+WFU/Wr93t0+9vo7eu9smzv7nL0K1J8dvXfns6vtRASTyYTbt29Dr9dr6qVb40p2ekV5fPXVV9DpdMlJv4gIn376KW7evIkePXoAALp164YePXpg+fLl6NatG4gIkydPxtmzZzF+/PjkPlOmTMFnn32GiRMnQqfTYeXKlVizZg0mTJjg1lhSWs/DEU8/zbUdrGnWjJXHzp1pdikNZcpwXqhp01hgrV4NtGrl+XmEYmvbllOtREXxORs0UGwSHTty1lt71KzJOamaNtV6L330ETdXTJ/OS1UzZ9oqDoAVx4ABvIQEsBLLnZuXquwtv/7vf86Vxx9/sPLKm5eVplh+FAoqMVHx5nr/fb6WJ3TowOnaN21ij7tASkSZXtHpdAgJCUFZVcUt4oDm5Pf2tnnSx15/9XshMxzt92SfvVfr9676ujrGVT81QUFByJkzJ/Lly+c0maJL2emWWd5DPv74YwJA7dq1ozFjxlDdunUJAPXp0yc5+tFsNlPnzp0JADVo0IBq1KiRfEySyhXmnXfeIQBUtWpVatKkCQGgatWq0aNHj9way8SJE8lLt6nhyROOJtfriaKivHMNs5no1VfZwycoiGj5cs/P4Y4n1c2b7p1r0SLbY0uVImrUiOjZZ4mGDGGPq9hYjoOx7qvXc+zKli3a7R9/7HhsERHaz66SB3Ttyv3GjePPq1fz5+ef58/Tp/Pn8uWJEhM9/z4tFqJy5TyLY5FI0gOuZKdXbB7jx4/H6tWrERUVhRUrViBbtmxYsmQJFi5cmKzp9Ho9Vq5ciRUrVqBIkSIoW7YsVq1ahXXr1mmyRk6ePBm7d+9GlSpVkCdPHsydOxeHDh1CDjeLegcFBQHQJhjzBtmyAbVr87r53r3euYZez1HSI0fyOnv37sqTtLu4Uyfj11/dO1e3bsqTeqFC/DpwIN//9u3sGdW2LS/r2Pv6LRY2jFvbiG7dYq8re7RsqU1/f/o0F+uyx40bfC8GAy+1ARytD/Cy1f37HIcCAF98wTYeT9HplMSP69d7frxEEqi4lJ0+VGR+4ZNPPiEAFB8f7/VrjR/PT6BvveXd61gsHDMhnr6HD3f/qfnPP7VP7sHBtk/3+fO7n0tq4EA+pnZtfi1UiKO0Bdu2EWXJ4ngmYTQSdeig3ValijIjsNcaNNB+dpQHTvwe3bop2+7e5W25chENHszvW7ZMXRaAnTv5PBUrpvwcEkmg4Up2ZnjlMXXqVAJA0SJ3iBfZupWFSK1aXr8UEXGWWpF4sX59IncyO1gsnHiwaVOie/eIHjwg+vFHW6UybJh7YxCCs2RJoqpV+f3Chbxv61ZFcQwaRPTKK8r5r1/nZS1rxRASwq9qhfLtt0TVqztfahs1SrtcGB/PShAg2rtXe//iGgAvp50+7e43bp/ERCWI8fz51J1LIgkUXMnODK88ZsyYQQDo3r17Xr9WTAw/yet0LJR9we+/ExUrxoIrb16izZtTdh6TyTYTblCQ6yh5s1nJPfX888rMYdMmRUi/9hr3+/tvnqGo0pnR7t1E2bI5VwzffEN06pRrW03hwjwLsViIfvqJt1WrZjuryJ1bOebNN1P2fVnz8st8vi++SJvzSST+xpXszPDK49tvvyUAPqsTIFJ5L13qk8sREc8g1LUzJkywn37DFcKY3rKlcq4PP3R93OefOxboQ4a4XhK6fdv+sS++qCxTERHFxSn1U376iahxY/vHtW5NlC8fv//uO77+8eO81NewobZvZKTn35M9li5VDPoSSUbAlezM8Mpj3rx5BMBnOXO++oqFyEsv+eRyyZjN7KUkCk916MBeTp4gMtmKAlSiOUl/Q0SsqET+KmvbhTu2BJPJvhJ4/FjJaiwKV33wAX9u147P7Wo28vLLSr4x6+asTounPHzI9huDIe0UkkTiT1zJzgxfw9z4XwGI1OS38oSOHfl10yYlstoX6PWci+q339gDSpRIffDA/XMIj6m8ebXbK1XiGInu3Tnv1EsvAa++Cgwbxll4P/uMj82TR3vcqVPAvHmur2s0cgoYgIMwAfZ8EnUzAE5LAnCgYkgIR5+fO8deUs5YsoTzWBUuzNHyq1YpJYFr1HA9NnfJlYtrsZvNnONMIknvuJKdmaKGOYA0izJ3RcmS7A57+DALEaFMfEXz5pwa/rnn2EW2cWMeR/Hiro8tWJBf795lt+NDh5R9Qnh7yqBBHFU+erTzfgMGsNtskSJcXOnYMQ4i7N6d04v8/DMH4+XPz4pr7lxWHJ07ux7D/v1A/fpKanyRG8s6v1Vqad+eg0TXr2dlK5GkZ1zJzgw/8xAxI96O81AjBNqaNT67pIZKlTg1SKVKnI6jfn33svGKinizZ9s+lf/8Mz/FL1sGLF/OSQynT+fqie+8wzmhWrXiiol37nAaE8G4cZxQ0Rn9+/NMY80aHjfAebx27OD3p09zpl1AySW2YIFtKphWrTg31ZdfKrEiN29qa6qUKsWv6vxWaYHIsrt5M8fhSCTpGZey08fLaD5HVDX0pO55ajlzhtfUc+dOWdRyWvHggWJUzpXLdQT0kydExYtz//BwxTYQGur5fVy7xvVHxDmaNHFt/xDeWnXq8OtTTxF17qy1UwwcaFuHXe3Sq+aLL3i7Os6DiN1pAY6GT2vE9/a//6X9uSUSX+JKdmaamUda5rdyRXg4P/0+fOhe9TpvkTs3sHUr8OKLnMOqZUvnubeyZVNSl6tnCjEx9vNQOaN4ca29Y88erovijEGD+PX6daB8ea4df+mSts+8ebZ1QaZM4VeRTl4gZoAbNwLx8dqxARyBntYTUmGj2bAhbc8rkfgaV7Iz0ygPXxnMBcLWsWqVTy9rQ9asXJhq4EBOZ965M2ejdUSbNmxTsMaduh3WdOrEtgzBkCHOa3G0bcvpQ27d4r7ZsrHtQ83gwbwEZ7EoqVaE7WLnTp6DCEqV4uW3mBh2JBBkycK2k6Qk+6WFU8N/SaOxfr12LBJJesOV7Mw0ysOXNg9AeepdtYoFnT8xGIBvv+Wn4ocPWcA588KaNo0N12q+/95+1UBXTJ+u1MeIjWX7iLNxCmUzcaI2h5Xg3Dmu5aHTAW+9xdu2bWNPr3//BS5e1Pbv1IlfrfN1idmHO/XH797lLMb26o5YU78+j+XiRR6rRJJecSU7pfLwEjVqsOfV7ducwtzfGAxs8K5WjZeDunRxbNTNndtW2N665brokz2yZ9ceN3++tr6HNf368WtMDF/Tmp07lVK0nTvzd3zxInt0AbaVFoUSX7SIlY6Y+agTJLrivfdYCdn7XqwxGhUjvly6kqRnMr3y0Ov5Fn1p8wD4yVgsXbmbpdbbhIbyckqhQiyEX3/d8dJKvXpcjEnNl1+mbCmmWjWlIBOg1Ca3R9GivDTlrK7GiBFcdMpoVGI2hCK0tuksWqS8P39eqTkilMevv3KfmTPZPnTjhu099umjvO/SxfWMQr10JZGkV1zKTh8b8H3O9u3bCQDt2rXL59feu1fx6klN1ta05uBBJWHh1KmO+x0+bOvRdOxYyq5psXDEuTjP8ePO+964oURsX7igzSIs2tGjRI8eEeXIoWwrVEj5ru/ft5/Rt2ZN51HpOXNyosn+/dlja/Nm7f4cObT5uaxRR5v7KseZRJLWuJKdGV557Nq1iwDQ9u3bfX5ts5mFGUB05IjPL++UX37hcel0RGvX2u+TlERUqZKtcE2pIjx+XDlH7drO+06YwP26dFG2qbPyCvfjuDhOga/e/ssvRD//bJvo0VHr2pWTNzZpwskl3TkGYAVz+7b98Tdrxn2WLEnZdyWR+BtXslMuW3n12oHjdWVN584c4EfE0dD27DIGA9cQt+abb1J2zWrVgIgIfn/okFJP3Jq4OGDOHH6vXuIaNUrbLyoKWLyY06So6dIF6NXL+RJbz57KmJYvZxfl3bu5pvvt21zM6uuv2evLUd2xP/7gJcCaNfl+1PYTuXQlSe9k+mWr/fv3EwDanNJc5alk2zYlSWCgYbEoqcSNRqJJk+wHA4rstqLp9UT796fsmhcuKOd55hn7febP5/21atnOcho10o6lbFnuU7Kk7RjF+3/+IRozRrtf9M+Vy/WY58zhvq1aEe3aRTR7Ni9F2puNtGrFwZbnzimBoiaT/fPeuEH06ae8dOhmVWWJxGe4kp0ZXnkcPHiQAND69ev9cv2EBCUiOhALBcXHcyVCIfyqV7e1R1y8aFtxsHBh57XOY2O5wNSNG7b7RCQ5wEJWjcWiFJX66SfbY5ctsxXYGzfyWL77TrF7tGjB70V9jQMHFGEulhJFc1UnrF8/7jd9una7UBD2mtnMEfKAbWR/UhJXOTQatbYaP6ysSiQOcSU7M7zyOHz4MAGgtY4W9n2AeLpPq8JD3mDnTqLSpZVZyLvvagtBiZKu6taggf1iUd27s7FYnGv4cG2/f/9VzlG5su04AK4tYq/6ZWKibYp1Ue/DYlHqfQCczl2kR7dYlKJZbdtqj3dllxCG/t9/126PjXWsPCpX5rQoANHbbyvHREcTtWmjzI66dCGqV0+xP6V0RieRpDWuZGeGVx7Hjx8nAPTrr7/6bQzHjrEw1emI/vjDb8NwyePHRG+8oQjAp58mOnFC2acWjkIQDxqkPYfZrBiqy5dX3k+YoO330kvKue7cUbZ36sTb3n/f8ThFTQ91O3yY93XtqmwbMEB73JtvOhb21jMgQXQ034PRyMZ5NSdO8LFlyiiKwlETyrNPH/6cNy/Rjh28LSmJxwoQ9ezp+L4lEl/iSnZmeOXx119/EQBavny5X8cxdqzyROqqtKu/2b2bBaJ4ehdVEb/9VhGGX36plJmdO1d7vHj6nzqVEwTqdLa1wh8+1NoJiLjgk17PgtrZktitW9olH4CVBhHRZ58p26yX3zZscCzcixcnslfzRsyEata03bdiBe/r0IE/Wy+HWTdRGjdLFtsCW5cuKd+3uha7ROIvXMnODK88Tp8+TQBoqS/rwtohNlZZA3f2VB0oPH6sPCUDRCNHstJTC8NFi/g1KIhtCgJhYAZ4JiNsBi+8oL2GuiRsUpJi1H75Zdfj697dVjhfvaqdXbz6KtGIEbx0ZbEQ9eql7Ovb1/b4cuVYMamZMoX3NWnCivDgQaL164lmztQeK5ae3GmTJyvnN5uJfv2VaPRoZf+HH2odBeLiWLHu30+0apVrG41Ekha4kp0ZXnmcPXuWANDixYv9PRTatUsRtqdO+Xs0rrFYWEiKp/xGjYi++UYRcp99RjR0KL8vWlS7/LRkCd8noLVRqNf0o6OV7XXrsucTwIZ2V+zfbyuUR4zQppIXzWDQKjR7Aj8sjF+rVmVlc+GCsoSW1q1JEyXwUdiZrFv27Dz7s5d+PiyMv/ezZ51/R7duEa1ebd9pQSJxhSvZmeGVx7lz5wgA/WTPdccPvPaaIiyTkvw9GvfYv5+VA8BeVmpBduCAMoNo3lzrlnrggK1wbNRI+1Qtzita/frujcliYVdfTwX3zz+zM4A3lEJKW4kS/Hchaq9YN6ORv6caNWyDNlu04KDImBhe6lu+nGdf1aop9iadjs89a5btzMqamBieXXniOvzoES+7STIWrmRnhlceFy5cIAC0aNEifw+FiHg9WwjMr77y92jc5/ZtfmK2Fmxly/ITsLBzqD2LiFiw1KqlPUbt+Xftmnafs7Qf1ixYYF/YFizIr8KrSd3KlXM/8lzdqldnG44nEej2mog8F23iROUhwmJRzn/4MNHff3OKFbNZe9/Hj3NRrKxZtQrG+lrBway8hW0KYJtSs2ZEM2awPWfhQv7N2rXj31J8N0Yj/94ffcROHtaxKk+eEP32G3vh5cjBx8lo+oyFK9mZ4ZXHpUuXCAAtXLjQ30NJZt06/gfNlo3XstMLiYlsR7AWUl278pKccM9ds0Z73PXrWmNyuXLanE8i7sNTW1BsrLZaoWhbt2qVSCC14cP5Kb1+ff5sMLANRCiI9u15+88/u77/Bw+Ipk3jWaxOxxUfW7Vim8nOnfz9ELEC/+knPrdYSnTUjEYOgFQHWQK8fNauHS8NNm5s/zxGo/bBQJK+cSU7M7zyuHr1KgGgefPm+XsoGoSr6nPPBVbSRFfExRFVqGArOGbNIvr8c0XQXLyoPe7337X9a9ZUnrjXrOFtFSp4/l3YW4I6ccJWuK1ezQbv06f5qZlI65m1Zw8v+xw9yjMMbyqQWrU41uXtt5VtbdoQ3b2rxNN88IFn38Pjx44j2dU8fMiODj17stJ5+WVWNitWsB1OeAI+fMiG/NdfZ2VvfQ86HS+jjRrFCmPYMN4eEiJL8GYUXMnODK88rl+/TgBorrU/qZ+5fZujnQGiH3/092g8w1oRALxEcvgwUceO/Ll6deXJVyCSMYoWFsZ9EhOVmcmCBZ6NJSHBNmWJo9a5My/3DBvGgnviRO3+efPYLXn1aqL33vNMIajjY9xtixdrlwKLFFECSq1jVPzN5cv83Xz0Ec+crbMFWyysaACeUe/b55dhStIQV7IzwyuPW7duEQCaPXu2v4diw/ff8z9b7tzO4xoCkRdeUISecIEtW5ZtGGXL8uf+/W2PO3vWNk26dXzEunWejeXePeXJN702tdsyQNS6dZr8TD7FbFbcu3PmDLxM0hLPcCU7M3xWXaPRCMD3NczdoU8foHVrLg3bowfX1E4vLF2qvP/rL6B6deCff7g408qVXCd8wQIuX6umYkUuR1uggLLt9m1tnw4dbI9zRr58QN++rvs1acLZer/6ijMKBxLTpgFjxyqft27lDL/pCb2eK0V26QI8egS0agWcPu3vUUlSiivZmeGVh7/K0LqDTgf88AOn9d69Gxg/3t8jcp+sWYHGjfn9iROsNHLk4NTzq1dzzXSAU5ofO6Y9VqcDTp4EwsL488KFnIa9Vy+lT79+wOefuz+ePHlc99mzB6halcfqqASvv6hbFzh1SrutQAFg717ttn/+4RT0AwfydxZoGI2cJr9tWy75GxHBZYOvXPH3yCSe4lJ2+ngm5HOioqIIAH0h0qsGIHv2KJ5Kq1f7ezTus2+fssySLRsXlRJeOosXs30BYO8dkaBQjYjerlKFjefXr2vdTwH2TnI3HsbaDbZbN7azVK6s3S5yUtlr1qndvdEiIjzrP2UKLwktWqT8nThaFgwUYmO12ZMBjlF56y3OHixT0Ac+rmRnhlce0dHRBICmOqu3GgB88QX/g+XIEZip2+1hsfDavBAOP/+spO0ICWF30dq1+fOzz9oKjLg4pS6GiEOaNEk5nxCU5cqxJ9e9e87Hc+CArYvpH3+w8lHn5QI4s651gKLIKbV4sX0hbq2E/NWeflp570lcjK9JTGSF16WLtlQwwHY+kXRTEpi4kp0ZXnnExMQQAJoyZYq/h+IUi0VJh1Gtmq2nUqBy545WKFgsRIMH8/t8+ViB5MunCF9rF17hNFC2LAubJ0+UjL19+3L0tTh3cDC7mO7Z49ild9w47Xjq1lViKA4e1O7r3Zu9hkQQ3ePH3E+dNmXJEu0xIrmhugkHAXvNunRuapsoyysyCw8c6I1fNe1JTOQswm+9pWQpKFdOJoEMZFzJzgyvPOLi4ggAffLJJ/4eikuiohSf+kBekrBGxGkAHLRmMnGwmliqOHxYyTmVOzfRli3KsSYTp24H2FWWiGcwAAuZqCheDmvTRhsZXrEiR+hbL4clJLDyVQtcdcDdl19q96mV08mT3GfHDv4sKhmq+y9c6P+Zx4YNHN0NsJdWeiM2ll25Aa5SaR1BLwkMXMnODK88EhISCAB99NFH/h6KWxw/rriyBkhGFbdQC7eYGA4yE3mYWrViId+hA3/W6zkQT8wexDJRiRJcAMpsJqpTh7dNnKhc4/JlDqJT59cKCWFXYfVsxDpIsGhRZVZhMinFney1des4YSHAsRtEjpMX+rMJ1+ScOdNXkKng4kUl6eOnn/p7NBJ7uJKdGV55JCUlEQCaNGmSv4fiNvPm8T9V1qzpI/suEc8uhGAbPZq3Xb5MlD8/bxs8mJXC++8r/Xr25KfQpCTFnjBkCAtDYYzPmpVjR9QkJnL0c+vWtrORL7/kfFDChiSaWgnt3s3bDAYegyMBLeww9oIiA6ldv+6LXzjtWb+ex6/TcUoZSWDhSnZmeOVhsVgIAL333nv+HorbWCzKWnnFispTc6CjFmgiZ9fvvys2BVED/NdfOeU4wGlKrl1j24ioky5+KpHCpVs3x9f85x+ejagDDYOC2H7UvLmyzWDQ5hETgY3WHkHqdvYsL6t4Q+B37coeamlxrnff5eVCayWbHhAPE3nyOM7zdu9e+soBl1FwJTszvPIgIgJA7777rr+H4RExMcqyT/fu6WNpQp3l9qWXlO3C6KzXE23ezNtOnlSWgwoUINq7l92UhbfU55+zwBCuu7/95vzaJhMf/9xzyhgaNNAucXXvrvS/dUvxABK1PKybvSzCgd6+/prdk3fv5mqF9+4Ftk3BbFayH9epo9Stv3uXbVU9erCSDQpiF1+Jb3EmOzOF8tDpdDTBuoh2OuDsWc6UKoRCoPPkiVaQ7d6t7BN5pHLk4OSDRGwHadFCmS0sXUo0f75y/CuvKDmmypdXBIsrTp5Usu2q3VoBVlKC2bP9L+w9bVWrErVs6dkxRiMXlho5kujYscB7ELl/X3FcaNBAyRJsfR+5cmlLGUu8jzPZmSmUR1BQEI0dO9bfw0gRy5crwlUt+AKV4cOVf/bq1ZUAP7NZWYbKlYvo0CHebjIpxl+djisVLlmiLOmojdueOMzt26csl4kElAC7DYsncYvFuc0jpU3YrPzZChVihau+d7UCmjqVl/wCZVZy7JhiHwP4t2vZkpfj/v5bSbhZvLisjOhLnMnOTKE8smTJQm+99Za/h5FiRo7kf5z8+QN/7ffvv7WCqn17Tj9OxDMHkVAxZ06l7rnFwh434pgpU3j2YB0/YW23cMWvv9p/gp05U+kTG5uyioS+aOHhihtzSlrnzqwg4uI4WHLIENv6J9mycWr1Pn14SdGfyuTiRbbfrFvHy7ZqYmN5ViKUn4wP8Q3OZGemUB7ZsmWjUaNG+XsYKUYdN1G9uu0/VqBhnX4je3ZO5R0by3EYnTvz9tBQ7WxqzhxF2I8bx+6+ffvaCkVPKtZ9/bV9warOYqxeKgu0JoIBU9MGDFCe1hMSOC6nY0fbbMYAx8jcv58GfwRe4P59pZZMixbsdSfxLs5kZ6ZQHqGhoTRixAh/DyNVPHigBBB26RI4yw322LjRvhArXpxo2zZWhj16KIpl1y7l2MWLlbQkQ4bwfW7cqNh+RPOkXkTv3nyMdTlcURTKkYLJaG3sWFbIaiIjWYF/+qmSrkXt1hxoXLqklDzu0yfw7DcZDWeyM1Moj1y5ctGbb77p72GkmjNnFA+hQI95nDtXEVqdO/NSA8BLb4mJbAsRQj1rVm31ubVrFbfdbt2U6nYieA/gFCbuJkxUJ1wUqVMAFkL//ssCKD0rkMqVbRNKOmtTp/JSljUitiZ37sB2Dz90SLGJidLFFgsrxgsX2D181Sp+laQOZ7IzUyiPfPny0eDBg/09jDRhwwZe2tHpAr9etNqbacYMJWfVnDm8PylJWZbKkkUbKLZjh+JC27YtzxISE7U2AE/K0otytbVqEdWrp5wje3Z2bSXyvxJITdPrFZdXd9vy5bbfkyhKNW1ayn93X7BuneLWnSULe5RZ359Ox3YvScpxJjvTjfKwWCwUm8JsgYUKFaIBgVbXMxWIJ/CwMJ6NBDKzZtn+U+fLx/aP+Hh+ilQH8wFE587xsUeOEOXNy9saNeIny/37tX2FMd4VMTFc5hVgpSaCFEV79VX/KwB7xn1vt169tLOMtWt5e/HigW9TmD9fm4YmLIxjh+rUYddkgGdkwrNP4jnOZGfAKw+TyURff/015cuXjwBQxYoVae3atR6do2jRotS3b18vjdD3WCyK22v58oHvefLNN9p/ctHsbQP4KVJw5oyyFl+1KiuWo0e1/Y8fd28cixZx/6JF2c6iro2RWdqoUdqlO/F9iJKxZrOSxPLHH9P+byGtefCAnR/E0qbAYlFmtUWKpN8ULv7GmewMeOXRv39/AkD9+vWjhQsXUvv27QkA/erBfLRYsWL06quvenGUvicmRgmAa9vW/fV/f3HvnlLrQ90qVFDiMdRtzRrl2CtXFC+b7NlZCYwdq/TNnt29JTyzmdOhAEQffshr/+IcBQv6X7CntOXKxa/NmrlXzGrmTHbdtd7+xRf8HYlMAVWqpG+DdEKCkiWgWjVOtS/xDGeyM6CVx59//kkA6GtVeLXFYqHnnnuOypcv7/Z5SpQoQa+88oo3huhXLl1SlnXeecffo3EPi0Ux7ooEijducAp6tQA3GnnJSwivqChOLyL2W+ec0uu18RuO2LmT+4eFcS2SZ5/lz+kxFYlon3+uzKLcXfqaO5djctTpWwBONnn1qrLEt2mT1/4UfEJkJNFTT/G9tG8f+A9ZgYYz2RnQyuOdd96hggULUqLV4uvSpUsJAF26dMmt85QuXZp69uzpjSH6nR07FMGxdKm/R+Meu3bxeHPk0MYUWCy2S1nduikVCC0Wfip2llBQ5M5yhsh/NWIE20xEsapPPuGYCH8rA0/bG2/YT7UycqStIVkIUp2OC3Hdvm3rwhwerszsIiK88RfgW86fVyLtR47092jSF85kZ0ArjwYNGlDnzp1ttosZibXtIyYmhu7du0dRUVH0+PFjMplMRERUtmxZ6tGjh0/G7A9mzOB/jCxZODV6ekAEPY4Zo90uZh9ffaXEdpQrp7VrnDljm7NKzEQKFXId5Hb8OAvPoCCeva1bx8cGBfHafyCkF/G02fM2Wr+eHy7Espa91rs337O1p1Z4uPJQcvBgmv/8PmfnTuXB5Jtv/D2a9IMz2alHAPPw4UPkz5/fZnuOHDkAAGazWbN91qxZKF++PIoVK4YCBQqgdOnSAACdTgci8v6A/cTQoUD//kB8PPDii8CtW/4ekWs++YRfv/4a2LVL2R4Wxq9t2gBHjgBPPw1cvAjUqwcsWMCiLTwcOHgQeOMN5bg1a4CKFYHbt7Xb7VGtGtCzJ2AyAe++C7Rvz8eYTECPHtw++CAt79b7JCXZbrtzB2jWDNi50/FxP/0E1KoFZM0KVK+ubD97FhD/Xl9/naZD9QtNmwLz5vH7oUOB+fOV+5M4xqns9Kka85AGDRpQd3Ue7f84cOAAAaD/qSPLnFC+fHnq2rVrWg8voEhIYHdWgHM1WUcSByKiZonBQDRhArvuFi/O2y5f5j6xsWwPUT8pq9OzfPut/SfqZcucX/vyZSUQ8cgRvo4oSCVKAN+86buZw6hR3jnvjh18L8uWpW5Wc/duWv/6/mH8eO3sasWKwM7W4G+cyc6AVh4dO3akhnaKNC9atIgA0L1799w6T3h4uN3lr4zGnTtKCpOGDQM/B5bJxIZ+YeQVwhvgtXg1ixYpto7KldnYK7AXHJczpzZ/lbjeP/8on4XAbtmSP588qXh+CWc+bwl1X7bx4/ne1YJTKAXx/vXXbWNf1O2zz9L85/cLFgsHl5YqpdxbtWoc35KePcu8hTPZGdDKY+bMmWQwGGyURNeuXalMmTJun6dy5crUsWPHtB5eQHLlivL03rKl/TQUgcbevYohV7Q7d2z7nT6tuOyGhioJEv/5x77Aq15dEQjXryt10XPl4uu1b6+kexHFpoQ7cZ48fMzVq/4X/mnRatUi2rKFqF8/+/tXrWJ36gkTHJ8jIz2hJyTwrFXEEAH896GuQSNxLjsDWnncuHGDQkJCqFevXhTz32P0vHnzSK/X0zse+KZWrVqVXnjhBS+NMvA4d05JHtehQ+BHChPxstFbbyn/yPXq2c+vFB2tddkdNIhjNsRnUVRItM6d2btLXStC3Zo2VRSN2czKpm1b3tasGbt2qqsT+rrZi4HxVhOzuUePFIcGdevVy7d/E74gLo7LIwtHDb1eKhA1zmRnQCsPIqLvv/+esmbNSnnz5qVy5coRAGrYsCE99iBz29NPP00dOnTw4igDj5MnFffEbt3Sh3+7dSXCxo3tKxCLhZ8aRW4j67Z1q/3tLVrwUtbNm6xUAW223saN+fy3byvKd8oUzn0F2PdoSut25Ijt8pF1XZPUtPBwW081dVNn1FUrZfX4MiJPniiR9xUquF+1MqPjTHYGvPIgIrp06RKNGzeOhg4dSr/++itZPFycrFatGrVv395Lowtc/vxTSS7Yt2/gLzvcuaMIKbGc0KiR4xmIiM+w19RGdnUrWdJ5nIiouLlpk6Iw9u9XZi6ibK43myi9643Wpw/f35AhjvssXsx9LBZ+8LDeH+gJOVNKfLyyLDppkr9HExg4k53pQnmklurVq1O7du38PQy/sGePEtE9fHhgGwUvXVIE/IULShbeRo20qSVu3lSq/2XJwk+MtWunnYAV9UWGDlW2iVlHyZLpPyfW3bv8/TqaSWXNSnTiBH8HMTFaRwbRpkwJ7L+llCICWIODtU4ZmRVnsjNTKI8aNWpQ27Zt/T0Mv7Ftm+KW+u67/h6NY06e5DFWrsyfL15UFEjDhux+/L//KfmbypVjISi4cCHlAlXMNAAONIyJ4fVwe4IzEFrXrik/dv58/r42bVLS24gm7EnlyikKW9T5sG59+mTM5R2RULFZs4ypID3BmewM6CDBtEKn0/l7CH6lZUtg6VJArwc++giYOtXfI7JPbCy/ZsvGr2XLcgBhsWLA/v1AvnzAs88CV68CdeoAv/8OlCunHF+uHAcWClq3BkJCtNfIlYuDDomAhQuV7Xv2ADVq8Pvbtzl4MEsW4JdfOGCxXTu+fqBQpAjw/fcpO3bAAL7/Nm2AAwe0+zp2VAIzZ87kbQ0bAh062J5n0SL+Pe7eTdk4ApXPP+ffeudOYPFif4/GvziVnT5WZH6hVq1a1KZNG38Pw+/8+KMSU+FOEkFfs2MHj806n9LFi4r7cdmyRG+/rZSQtUfLlty3USM+dtYsZZkL4KWud95RjOaiWXtV7d9ve+4bN9guIuJp/NVKlmQbVmrOcfAgP1l36qRse/llnt0B7NIsgk3PnLE9Pk8efi1VimeNGYmFC/ne8ufntO+ZFWeyM1Moj9q1a1Pr1q39PYyAQF0e9rvv/D0aLaL2ub2fKiqK4zncWUY4eZKXnsR9tm7NCsWRd5ajVr48uxA7IzaW40+++sr3CkTYiFLT7C3LWSyswAE23gusk0b27avYmkJDucplRsFiUTItv/aav0fjP5zJzkyhPOrUqUOtWrXy9zACBpFIUafjyO1AYe9eHlf9+qk/1/XrSt301LS333b/mr6OB+nY0XZbuXK2WXI9berfIjSUgweJeNZl3XfSJNu07iILcnrn9GnFqSCz1kN3JjulzSMTMmwY8Nln/K/ety8wfbpib/AnuXPz64MHqT9XsWLAvn3AuHGc2G/LFuDQIeDKFc/O88UXnITRHZYtY9tMQoI2yaC3WL3adtvFi0D9+qk/d6NGbDOKiQHef5+3FS3K36eaSZNsE3HmzJn66wcClSoBb7/N7wcPtp98MqOT6W0e9erVoxYtWvh7GAHHBx8oT4thYRxBvG6d/zxoHj5kN1iDgejWLe9c4913tU/J0dGcFt7Zk3h4uOffyalTvp2FpGUT/PUXP3nrdMqT96NH7p3jrbfS7jfzJ0+ecF10IP0UXEtLnMlOOfPIxLz7Lj8t160LPH4M/Pwze9UULMgzki1bOE25r8iVC3j+eU6VvWSJd65h/acQFsbeZ5cvOz7m7Fngww89u07lyoq3kj+YMweYNi1lx4onbKMR6NeP1cFrrwGJiUCOHPw7ueKLL+zPjNIb2bLxd6nXA1Om8EwrM5HpZx4NGjSgZ5991t/DCGguXOBKetapK/LmJRo4kGj7dt+kOFmxQrl2u3ZEBw6k7fmtvYbUWCzOU3dERHjmeWMyKeVcfd1Eed2UtG3beBYKKAGmAM9UiYiOHeO/lYgIomHDiCZPVjICCHuaaMuXp9EP52eWLlUcLt5/P/PEfziTnZlGeTRv3tzfw0g3nD3LhtCKFbWCoGBBLnm6d6/3Up3ExdkafF97jWtRpwWihoho1kIgKcm2Prp1Cw/n9Cfz57MyEgkVr13jPFhjxrBgVefNygjNYHCszCdP5j7PP8+V+tTHderESuXYsfQtdJcsURTIu++m73txF2eyM1Moj0aNGlGzZs38PYx0h8XC694TJ9rGNRQtyjUevJWx984drqMtSofmy5c2rqAi+Z1o//5r2ycuzn5WWUctVy4lkaJ1E9Hw/mz26p24am3b8mz000+128uVs18n5t49zgCs0/Fx1in2RatWjR8+0ivLlinpaSZMyPgKxJnszBTKo3HjxlJ5pBKLheujv/WWNu15lSqcP8tbnD6tpE3X6zl9dmr+YRMSuOZJw4Z8TlHHw5rYWE5P4UzAduqkXZbKnZuVzsSJ7HggClolJjpfDnPUFizQfrZOJeLNpnZNFYpR1EIfNcr+dybSegwfbhuDEhKiJLIsUsR5kGegs3y5okDefjtjKxBnslMqD4nHWCycF6lMGUU49OnjvVKlFovWM+yNNxT7i8XCS1rXr/NsJSqKZw6ultUGDeJzTZ/uuM/jx4qScdQiI7lg1NGjzq/5559KdL9IlR/ILShIyYElAgFnzeLXbNns236OHOH9OXPyd/fOO8r5smThGYeI9J882fnvE+isXKnEgKgDKTMazmRnpvC2AgAi8vcQMgw6HedFOnUKeO89IDiY8xxVqADMncveUml9vffeYw+s4GBg9mz2BCpalD/nzQsUL85eYrlyAVmzAgYD++lv2GD/nJUq8evp046vGxoKbNrEebQckTcve2o98wx75Diidm3gjTeU85YoYdvn2Wf5+3MXiwV46y33+3uCycQ5sEaMUOI2SpUCWrTgmKB587T99+3j/GkA8OgRe+4NH67kFouPB156CRg6lD9PmZI28Tz+oksX9lQ0GNgT73//8/eIvIdD2elTNeYnmjRpQk2bNvX3MDIs589rbQS1axMdOuSda+3ZY/vknjMnL4Xky8fxKiKDsGi9evGMRM1vv/G+unVdX/PBA21uLHuta1fOPutsCePxY2W21qWL7TlEhuD4eH5SdzU7sLZDedtA/8cfSgqZ4sXZm4yI6OuvbftWrszfhbWNqVYtzjkGZIxYkI8+Ur4P67+xjIAz2ZlplEeEdbY9SZpisfBUXrhs6nREr7+edl5SSUm8LDJ7NruJjhlDdPy44xrtCQlE06YprqYlSyp1Ooj4H13sO3vW9fXv3WP7jloQ2jOGV67MNoGvv2ZFZ61M9u7l78ZoJPr8c+2x48dr+/7wg3tCXSwrvfSS95ezVq5U3s+cyd+/KOFqXThq61bORyY8lISdIDycX0NC2EMtPWMyKd6Bffv6ezRpjzPZmSmUR0REhFQePuLxYxbsYj04Xz42/Hrq2hsby8L+4485saGoiGjdcucmqlmTBefYsZz4cds2fopPSOCCPuKfW6fjp10RvT5wIG9//XX3xnT7tiL4rAW3oyZiI9S8+abyFC6M0KLZi6VJSCDassVx8SZnGX4LF+acVA8e8G+QmvgPe024NVevrk2oCCgJLnv04M/NmtmW2H3jDc/+LgKRM2eUmeKaNf4eTdriTHZK5SHxCqdOaQVJ/frs5++IBw+4vOnbbxM1aGC79ATwks/LLxO98ALPApyVkwX4ibdkSWWZRN1Kl9YuRV265N593bzp2A3VUZs+XVu0KjpamaEJDyXRli1zfv2UCvkJExRl6Y22ZAmPb9Qo7fZTp7gqIcAzve++UxwHAMfG9/SGyKqcP7/iZZcRcCY7dUREvjW/+J6mTZsCAHbt2uXXcWQ2iNiIOno0F1jS64EhQzjZXFwccPgwG1r37mXjuxqdjosSNWoENG7Mr0WL2p7/zh02WF+6pDTx+cYN7uMuFSoAVasC4eHcsmUDIiOBhw/ZuPvgARu7s2XzPF0JAPTqxUko8+YF1q4FXnyRk0EmJXF6GPV9OaJdO2DjRs+v7W327OHf6fvvOaWJoH9/YP58ZdzjxgFlygADByp9Jk8G3nnH92NOSywWoFUrNpx36ACsWWObCic94kx2SuUh8TqPHnFm1lmzHHtiBQezV5NQFA0auJdDyRmJiVx18NIlzja7cCFw9CjvMxqBTp1YMfz2W+qu4wmFCgG//sqZb5s0YeVpzZkzrLySkoDdu3nMt26xAhYeTSnl00+B8eNTdw5HvPgiV3P84gugaVMee3AwcO0aK/R69YDs2Tmz8erVnC9LkJgIBAV5Z1y+4vp1oEoVIDoa+OEHoE8ff48o9UjlIZVHQHDyJDBqFAvDXLlYQIqZRa1aXPbVm1gswI8/AhMmADdv8rYXXuAmnpYNBnapvXaN3VXz5uXZQd68QJ48QFQUcP48cO4ct6go96790kss/PfuZYH69dfs+tq6tf3+/frx7CQyMpU37WUGDrR12wWAsWN5NrlxIzBjBpcBaNsW2LyZZ56ffcZuyYMHc/8XX8wYiRQXLQJefZUTbv71F1CypL9HlDqcyk5frZ35E2nzkKiJiWFDtjDeGo28Vi3W4cuXd6/4j8XCwYkir5Or9v332txaOXO6PiZ7dh5P0aJE/fpxni+AqHFjvn5MDLsJp9RWoU58CCgeUe62KlW4DK2rfv/7HwdKCjuHsAuo+3zzjTd/dd+gLuvbrJn30vf4Cmkwl8pDYoebNznBodqAq26dOxOdO+f6PCIHmLWrqjeaEO6NG2vHcP680icsjKhYMdfnypuX41zU2378kah3b++M/dtvidq35/cjRvC4rd2VA600ckq4c0dJJdOiRfp2CMj0BvOIiAjodDq5bCWxy8mTwJgxwLZttvsMBl5aql6da3SULs3G7bt3gXv3gOPH2Uj677/eGVvu3GzEN5u5SqEa6/9ctYH2/feBDz5wfN6ICKB9e9sIdSJeZhoxAujRg5cTR492fJ7Bg4Fq1fj+9+8Hdu5kx4jvvwfy5WNDuXqc773HzgYhIbx8eeECL1mpmT+fDe3pmYMHeTn0zh12xNiwge1B6Q2nstOXWsxfyAhziTts3sxBfil5qs6fn6hDB64rLp6uRROxDBYL58AaOdL9/FYbN/KMRgTaqdvo0dq4EHXyxZ07HZ8zRw6O+Zg9W7u9UCE+z759/LlqVf587Zr9WYt4P2uWMgaxLNe7N39ev157XNasHBMC8JLXoUP8vlw5oi++UPotWOD1n9vrXLnC3yHAv/eOHf4ekefICHOpPCRuYjIRzZmjRE2L1r49K4ZatYiaN2eBPmwY16k4ccJ+EOSHH/Kxer0SB6G+zpYtRPPmcbbi8+f5vOJ6lSpprx8URDRggK195dlnOSGlxaLEjgiFZS3wW7fm1+bNOZDSen/x4jy22Fi2A+n1HPRJxHVKrPt36MCvOh3vJ+KI8qAg3nbqFK/5Fy7M/URqlpw5lRidOnX4tWJFPl4oEJ2OFWd6JzpaeZgwGvn3Tk9I5SGVh8RDHj/mgj9qg3Lp0qwwfvuNo77d4f33FWHoyiBsnYJdtMKF2TAvsN7/9NNKIJ5a2TiaeURE2A+wLF1auYaYHahrb4webXtMv378miWLUihKKK4OHbguvagB7qx17qxcZ9Ik5Wn98mX3vudAJilJ+92NHZt+0rhneuXRuHFjqTwkKeL6daIhQ2yLPYWFcUqURYucp6K3WDgXlzjuk08cC46oKPuCtVAhFsKCli0dC+Hnn2dB7EpY22tGo3KN/v1521dfKdsSEzlTgPX1Bgzg9/nzc6T+rVuuo/+tm7quitnMJYgBzgIQG5uSXy7wmDdPcXiwl7YmEHEmOzOF8pCVBCWpJSmJ3XfHjbNNkKjTEdWrx3m4jh+3rxzmzlW8ukaNsu1z4gRRhQra8168qAjrQYOUvm+/7VgIf/wxp4FxJawrVCDKk8d2+4cfsoITSRZ79NCO89o12+PUlRfDw9m7aOpU+9ctV46Xx9TbnnrK9vt68EBZ5urXL9U/X8Cwbp2iqJ2l6wkUMn0lwUaNGska5pI05dIltne0amWbh6t4cU5FvmGD9ql5+XJlOalyZTY0R0eze6pIrKdWIK1asd3AaGTFc+IEn2fxYu311OnbO3dmt+GUzDwcNetYBWtD+5QpPGtSOxssXWo/meX27aw4n3tOu13YVtQcO6bcW3qzFThDLOs9/bT7y5/+wpnszBTKo2HDhlJ5SLzG48ecTbV/f15iUgvFrFk5aGzpUlYUmzfbf+IXT9hPnmgrNB44wHYWoUyIWKEAitKy9sRKbd30N95QbB6iqYX31au2x1gs7EXm7LxFiigp2B88IGrSRNl3/Lj971akpQ8JYceCjEBMDFHZsnxfEyf6ezTOcSY7M4XyaNCgAT377LP+HoYkE2A2s/vp++8T1aihFZ4hIZwReP589uhSC8+WLZVzqEvu1q3LNhURjb5lC3tqhYTwZ0ep6p21smUdR4Vfu8Yp3G/dst33wgvKcpu1S/PChbbux9WrE+3fz+6qrVrZ2i7i4ngJbuZM5wZkUTK4VKn0HXCnZs8enk0aDN4rnJYWOJOdmUJ51K9fn1q0aOHvYUgyIdevc0r2Ro20kexGIwvUoUNZ0cTEKMdYx2gsXqzYEKpUYftLzZq2wv3117WfK1a0ryCOHrWtIwKwq++cOc49tQAeX8+e9vfVqqW42wYHEx08mPrvMD5eud927TyvDROojBjB91SpkuOiZv7GmezMFMqjXr16UnlI/M6//7Kdo3lzbQ4pnY7TjUybxnESsbFaAV6sGFdkFMtR8+dzUStrwX3ihDZ4z14bOVIJAnzqKaLhw1O3xKVupUsrdUuEIitaNG3qW1y+rMxsvvwy9ecLBJ48UWrDvPOOv0djH2eyM1Mojzp16lArsWAskQQA9+6xEmjb1tbgXq2a/SUjYfsA2KvKuo9wb3XUhCuuiD1580377sE//OA6aaNYNlO3V19V7i8hgYt6ARxXIuqdp4a1a/l8WbNmnHrh+/fzw4Ner8TJBBLOZKfe58lS/IQuI1RmkWQY8uXj/E0bN3KOrGXLgO7dOZX3iRO2/deuBWbOVD5PnGjbZ8MG59dMSuLX7dv5tUULIGdOoFgxpc8bb3AOr0ePuPaIwWB7nmzZeMzWLFnCaecBTjv/yy9A4cJc12PCBOdjc4cOHbhOSFwcsGJF6s8XCDRowLnDLBZO5R4f7+8R2eJIdmYK5UFEUnlIApYcOYBu3bjQ0717wPr1rFzsUbiw9nPHjrZ9evQAnn/e/vHR0Zy0z2BgQQxwbRFBtmxcrAoAOncGype3PUdsLCeDVB+n13NBp1mztGNdtoyvNXUqsG6d/TF5wquv8usPP6T+XIHChx8CFSsCf//NypvI3yNScCo7fToH8hO1atWiNm3a+HsYEonbPHzIyxlBQeyaK5a2/vyT3WYBXlq6dk1r/P7oI+Ucb75pu7S0ahW/Nmyo9LtxQ9n//POKoX37dudLV5GRttty59Ya/4kUY3/u3OzFlRoePyYKDeXzuZMuP71w6JCSCieQ3HedyU4585BIApBcubiGu8nEs5Fhw3h7kyYsptu146WlV1/VVjNULw9NmsQ119WsXcuvbdoo24oUUd5v3MhPwKK2uiA8HFi8WHsuUY9dUK8el/VdtEjb7623OK39w4fOa5X/+iuwahXPYBwRGspVGQHb66RnatXipTiDAfj4Y+Cbb/w9Isap7PSpGvMTNWrUoLZt2/p7GBKJRwwdyk+iH3zABuJGjZQnfOtUJgBXHbSmb1/7s4Y//9T2E+lFROvaVQlkAzjLsMXCKVPU/dTR7StW8Gu5crbutCKwsUgR+/d6/LhyniJFlGh6e+zaxf2KFdOmpM8IiOSYOh1/n/7GmezMFDMPi8UCvT5T3KokA9GkCb/u2cOG7T172C5SoADXT1fTpw+wfLntOWrXtt2WNy9Qo4Z2W4MG2s9//w388w8bz7Nn56JG//4LlC2rLdSkNvC2bMk1uy9eBDZt0p4vPJxtOzdvArdu2Y7pt9+U9zdv8rnOn7ftB3DN+zJlgBs32PaSkejXD/j0U1ajvXpxcS1/4kx2ZgqJSnLZSpIOadyYX//4g5evdDr2yDp7loWMmkWLWOBaY7HYbmvZ0taLqk4d7eeTJ/n1u++AunX5/ZEj/DpkiP3x/vijsu/777X79HqgZk1+f/iw7bFCSM6fz15gd+8Czz4LXLli21evVwzn1tfJCLzzDjB0KC/fvfiife87X+FMdmYK5SFnHpL0SMGC7O0UG8vlbgV58gALFrDAVXtfhYQAMTHacwweDCxcqN1mz23WWnkAwOuv84zEWug/84z98Q4frpTKXb8eiIxU9lksvK6vPo8gKQnYu5ffP/ccsGYN0KgRzyxatLA/U+nTh5Xp6tVsS8lI6HTAV1+xbSc6mj3n7t71z1gy/cxDKg9JeqVRI37ds8d2X9OmwKVLQPPmyrZcuYAHD5TPBgPQty9w7ZqyzV4tbbXhG+AYj08/5fdCsRw6xK86nfLeGuGOazLxddeu5aUsg4HPCSgzGMGRI1wX/qmngKJFeZlswwZeWvvnH54pqRURAJQowfedkJBxYj7UGAw8k2vQgJcL33vPP+PI9MpDLltJ0iti6WrfPvv7s2Thdf/Wrfmz2Qw0a2YbxFe8OFC9Or93Zx29alW2swCK3eTwYSUGoVYt22WyCROUWQrAs48XX1QU1+jRynnU7NjBr82aKdty5gS2bgUqVQJOn2bvsMePtcf16cOvGcnrSk2WLDzDNBiAefP4e/A1mX7ZSioPSXpFKI+9e+3bLwQrVyrvT57kWYn1ck/79vzqTrDeb78BL7/MyyYlSvDMJDISuH5d6TNpkvaYgQNZMaiN3/a4cwe4elX5LJSHegYFcKDkb78BpUvzTOeFF7QG+k6d2HX3jz8cG9fTOxUrAoMG8W//1lu+v75flAf994hCRDCbzSAiREdH2+17584dXLx4EUlqx3IrHj58iPPnzyMhISFFY5HKQ5IeKVOGl3IiI9lQ7oiwMOCnn5TPZ84AERFaYd+hA79u2GAbxaxObdKvHwvlZct46Wj1ak43AgDbtrENBtB6chUowMtTgBKhDrDNwlrJiO0ALzsJO4mIeFdTpAinUylcmGdMXbvykhjAy1tduvD7n3+2PTajMGkSe6pt2cLfvy9xKju94Rs8Y8YM0uv1lCVLFtLpdAQguW3cuDG537Vr16hr167J+ypWrEhbt27VnOvhw4c0dOhQMhgMBIAKFy5MP/zwg0fjKV++PHXt2jVN7k0i8TU9erDv/+zZzvtZLBw5bp3p9tIl3m82KyVg165VjouOVrZPm8bbzp3jSneOosvbt+fric96PR+3e7e2X4kSfN06dWzPkZSk9K9c2fm9/fWXUkTrpZeU+I6tW3lbzZqef6/piSlT+D6rVvVtbIsz2ekV5bF69WoCQGPGjKGvv/6avv32W/r6669p3bp1lPTfnT969IjKli1LBQoUoLlz59KGDRuoVatWFBQURIf/KxlmNpspIiKCsmXLRpMnT6atW7dSnz59CACt8CCCply5ctS9e3dv3KpE4nW+/ZYFR7durvsePaqtGyKC6c6f5/0zZvC2GjWUAkwiW2+tWlrBFBtLNGmSbQChaH37Kse++qo2xfjEiUoK+d27iXr1sj1+3Tql8NXQoa7v7dAhohw5lGubzXzNoCC+54xSKMoecXHK9+nLkrzOZKdXlMfixYsJAN29e9dhn08++YSCgoLonCpBjclkotKlSydrul9//ZUA0JYtWzTHtmzZkp5++mm3x1O6dGnq2bOnh3chkQQGp08rkdfOKu4Jxozh/vnzK+VkCxcmOnOGFYIolbt+PacBFxXtjh1zfE4RWV6gANGmTUoepnbtuDZ7dDTR6NG8rUoVTskuotu/+47os88UpSFSzrdoQdS0Kb//5Rf3vou9e5Vrv/EGfx+iIuOqVe6dI72yZAnfZ6FC9mu+ewNnstMrymPatGkUHBxM33zzDTVu3JhKlixJLVu2pAOqhPV169a1Ox0aM2YM5cmTh5KSkqhPnz709NNPk8XqP2bBggUEgG65mWWtRIkS9Morr6TupiQSP2E2K0s2ly+77h8fryw59ehB1KyZokyOHeNiSmIJRJSTHTvW+TktFqUY07VrXIdCfC5dmqhzZ2X5SqQ+GT9eSa8SHc1PzDdv8gwhWzZFmeh0RPfvu/99/PabUk9k7Fhl9vLmm+6fIz2iXv577z3fXNOZ7PSKwfzWrVtITEzEG2+8gXz58qFr1664efMmmjZtiitXriAxMRGHDh1CA+ucCABKliyJBw8eIDIyEvv370eDBg1sDDYl/7PMnbdysXjy5Anu37+PR48eISYmJtkAbzabYbBXmEAiSQfo9c7jPawJCeEkhiEhnM6kd2925b13j2M27txhT6a//mL3z7Jlgfffd35OnU4b5NegAXuAFS0KXL7MRnKDAfjsM8WQLgIYb91ig/6AAbwtd27glVeUcz/zjG2ciTNatGDvMqORr/fHH7xd1CnJqOj1wJdf8vvPP9c6Q3gLZ7LTK8rj7t270Ol0WLp0KVatWoWpU6di3759CAkJwXfffYe4uDhYLBbkFI7kKrJlywaArfwxMTHIlSuXTZ+sWbPave6sWbNQvnx5FCtWDAUKFECVKlUAyCBBSfpHnefKHapUYcEKsAttx478ajJxbY3795W+c+cCDv6lNIgYjqNH+bVyZeD33zmNSM+e7A2mdicVQYF37tiea+hQ5b11ni13aN+ePax0OvZCAjgfl71o9IxEo0ZA27ZcEKtxY+/HfnglSJCI8Ntvv2HlypVYtGgR5s6di1OnTgEAhgwZgo0bN6Jbt27J/XPlyoV69erh1KlTyJEjB4xGIx7aySsQFRUFnU6HHDlyIG/evA77iHOqGTt2LB48eIDHjx8jNjYWf//9d/JYpauuJD3jqfIAOI37e+9x4ODgwVwxcPt2dv9VI3JXuUIIeaE8AI4B2b6dBflTT2n758/Pr/ZSa1SqpLz/5x/3rm9Nt26cC0uNiBnJyHz/Pf9mV6/yDNCb7rvOZKcxpSeNj4/H+PHjER8fD6PRiNDQUGTNmhVVqlRBHXuJcsBToNjYWOh0OhQuXBhX7GQ9++uvv1CpUiVkzZoVhQsXxuXLl+32CQkJQXh4uFtjlcpDkt555hmOa7hwgZ/kCxZ0fYxOB3zwAS9RDRvGS1NPP83LVJcuKf2qVuUIZhF74QihPI4cYWuFq38pMUZ7swF1yNdff7GCS8nKcr9+/BT+5pv8uVcvVirGFEu2wKdAAY55eeUVLvXbti0wezYHE6Y1TmWnb8wuRJGRkZQzZ0565513iIiof//+VKpUKTKrEv/Hx8dT4cKFqW/fvkRENHXqVAoODqYoVbV7i8VC9evXp/r167t97fz589OgQYPS6E4kEv/w7LNsLF250vNjt2whKlXKcdyG8Jz64AOir74iWriQPaC2biX64w82dFssStXC69ddX/PWLe6bNavtvnXrtNdevdrze1IzZIhyrpYtucphRsdsJho3Trnvd95xzxvPE5zJTq8ojwEDBlC3bt0oISGBiDjQr1OnTqTX6+n06dNERLR7924CQCNHjqS4uDiKjo6mTp06EQDatWsXERFduXKFQkJCqHPnzhQZGUmJiYk0cuRIAkBz5851ezz58uWjwYMHp/2NSiQ+xJOYCHsIYa6O07h4kejTTxXvJUdNr+dYjvBw94X9okXct1kz233Dh/O+sDB+bdo0ZfckSErSjrdsWXZNzgwsXEhkNPJ9v/02K5AtW4g+/pho4ECizz9P+bmdyU6vKI9ffvmFgoKCqFChQtSoUSMKCwsjnU5Hs2bN0vT7/PPPKSQkhLJkyUJBQUEUHBxMn3zyiabP8uXLKXfu3BQUFJQcsT5w4EDNjMUVefLkoTfeeCNN7k0i8Rc7drCAeOYZz49NSOC4CoAVgPWT+d9/c2DfhAmsnF55hejFF3m2U6uWIpxEGzfO9TXbtOG+335ru69KFSXSXdQkd1Y90B06dtSOMUcOFqKZgdWrld9IfJ/qduNGys7rTHZ6bdnq6tWrNGbMGOrevTtNmDCBLokcCVacP3+evvzyS5o2bRpduXLFbp87d+7QzJkzaerUqXT8+HGPx5IjRw4aNmyYx8dJJIHEkycsIPR6LkvrLhYLzxpEkJ+Df0WnXLxI1KGDViA5+1d88IDHajAQWccK37mjLGfFxyvldvv393xcaj7/nM/Tu7cSd2Iw8DJcWi/neIOoqNSNc+VK7e/TsydnFwA4Oj8lOJOdPrN5+JPs2bPTyJEj/T0MiSTV1KvHwmDTJvePmTRJEdYpFSJELNhEgKEQzKNHEz18qO2XkKDMAho1sj3P8uVKhDkR59ECuB76vXspH9+ePXye6tXZHjBxojLWV19lRRWIWCy8dKjXs9J78iTl51ErDyKi1q35/YYNKTunM9mZKYIfZJCgJKMgXHZ373av//ffc1ZWvZ5rnItAv5Sg0wEjRwJBQfzZbOagtYIFOdvtxo1cc6NjR87EmyMH8MUXtuexTsFevjx7DMXHA7NmsehLCTVrssfWX3+xB9ZHH3GhqKxZgR9+4Hoht2+n7NzeIimJS/eOH89p13/9lWuvjB1rvwSvPR4+5PslUmrRCw+3AgX4NaWVCH0eJBhoyCBBSUZB1PcQacydsWULBwYCwMyZSj2P1KDTKanTJ0xg916TiSO+27VjhbFpE0eR79xpP4ZEFKNSF38aMYJfP/gAqFCBFVC/flxAasoULknrimzZ2O3YbAaOHeNtL73E31Xx4hyJXru2bSVDfxETw/c5Zw5nA+jVizMAPHjAgZxly/L+//1Pq1BjY7nOydixHKiZJw9QrRo/IOzbx31FgGZqlYdT2ZmyyUz6wmg0JrsISyTpmchIXoYICeFMq444flwxnKb1n/477/B5J07kz9euEX3yCVHFisqSyc8/2z/23395f/bsRImJynaLhb3J8ue37+2VOzfRzJnaY+whbDvWRvrbt5V09Vmz8tKZP7l9m9PIA5y3bN8+Zd+BA2yvCApS7j88nGjQIE4CGRxs/zsS6fTVTJ3K+0aNStk4ncnOTKE8ANBE8ZcukaRzhKfS3r3291+7xhl4AU6MmNbGYmGzaNtWu91iITp4kLPbOrrm4sV87HPP2d9vMnHSxV9+4USKU6cSRUQoArJSJeeG+kGDuN8339juS0hgo7w41/vvs23E15w7R1SmDI+hTBn+bI9bt1ihFi6sVRI6HafUHzOGaNs2rR1q8mQ+Ni6Osw6L7b16pWyszmRnhlceSUlJBIAmTZrk76FIJGnC4MEsEKZMsd336BFnywWIGjf2jpH4/Hk+f+HCnh87cKDjsTvCYmFXVCEInZXm6d2b+ziqFyeM/no993vxRRbSvmL/fqK8efnatWrxDMQViYlEv/7KXmMbN9oPgJw/X6njMnw4F+FSK5zWrT0fqyvZmeENASKzrjEj5yuQZCoaNuTXffu0200mNlz/9RfbDdas4bX0tKZsWc6Se+uW5wboXbv4VW3vcIVOB7z4opLXa+dOpRStNaJErqNEjzodMGoUG/dz5eLvqGhRoFUrYOFCtjd4izVrOIlkZCQ7COzc6V6amaAgrtc+YgQflyePbZ/+/YEff2S7x4wZwLVr2v0psXm4kp0ZXnmYzWYAkN5WkgyDMJrv3cvGYYCfL19/Hdi6lRMSbtpkX8ikBXo9UL06vxeGaXe4eZNzc4WGpiyTbqNGQHg45/batMl+n7g4fv0vObdDnnsOOHSIlZLBwAbo/v3Z0Pz885zS/vFjz8foiFmzWAHExwOvvQasXcvfQ1rSqxc7LrRqpdR2F6REKbqSnVJ5SCTpjJIluT16xLMMAPj0U2DBAn7iXr/eNnNuWmMvw64rhJdV48YpS1yo0wF9+/L777+33ycmhl/dEczlyrFL8Z07SmJIs5kVU69e7Kn00kucfFAoJU9JTASGD+cU9ETsPjxnjvcSN3bqxA8QS5Zot6ckaaIr2Znh13IsFgsASFddSYaiUSNOyf3771zTYeJEFq5LlrifYj01iNoenri92nPR9ZTevYFx43jZyV524QsX+LVoUffPmTs3F6oaMICXd1auBJYt42XBX37hFhYGvPACLwu2bs2K4M4dnk3dvs1LeLdu8edbt3ifeDWbWVksWKAtguVNgoKAPn2A48d51iOKiXmCS9npuRklfXH//n0CQNOnT/f3UCSSNOObb9gQWrCg4tLpyz/xU6f4mqVKuX+M8DBKTZQ7kZImxTrh382bSk6rtPCiunaN6Isv2LCtNj4bDPZdZR21SpU4M3F6w5XszPAzD2kwl2REhN1DVOkbNYqXR3xFhQpAliwcBf3wIT+9O+PaNa4hkiMH1yZJDf36AevWsYF79GilrohYQnvmGbbLpJbixfn8o0fzjGblSo7SP3mS7SQFCwJFirCdpFAhLrFbpAi3AgX4c+HCQHBw6sfiD1zJzgwvUU3/uWUEiZwKEkkGQF2Jr2ZNrmntS4xGjuY+dAg4cUKJOneE8LJq0iRlRZ/UtG3LgvvsWeDAAaB+fd4ultDEklpa8tRTnEJk/Hi2f2TJ4roYVnrHlezM8IYAOfOQZET0ejaCZs/Odg5/mPTEDMIdj6u0sHcIgoIU28GCBcr233/n19Tk73KHrFkzvuIApKuu9LaSZFhmz2Zjbfny/rl+SpSHqxmKu/Trx6/LlwNPnvAsZOdOFuquyulK3EO66krlIcmgGAxpHyvgCe4qjytX2DMsVy5O4JcWVKzIy1UxMfwdVKvGbrHdu3OciyT1SOUhlYdE4hWqVuXlsrNnncdBCHtHRETq7R1qBg9W3ptMHNw3f37anT+zk+njPKTykEi8Q7ZsPAM4c4aDFevUsd9PbSxPS3r35ij6nDl55pEjR9qeP7OT6Wce0mAukXgPd5auUpLPyh10Oq4h0rixVBzeQBrM5cxDIvEaIk2JI+Whtnc8/bSvRiVJCzL9zEMqD4nEe4gEiceP29+flvEdEt+S6ZWHXLaSSLyHUB4nTyoZftWkZXyHxLfIZSs585BIvEaePECJEuxtdf687X4x80ir+A6J78j0M4/ExEQAQHB6TTAjkQQ4jozmV65wTitp70ifuJKdGV55yNxWEol3cWT32L2bXxs39k/6FEnqyPS5reSylUTiXRzNPNTBgZL0R6ZftpIzD4nEu6iVB5Gy3VvxHRLfkOlnHlJ5SCTepXhxrucRGQn8+y9vu36dbR4i+luS/sj0ykO66kok3kWns7V7CHtHo0YyviO9kulddaW3lUTifaztHtLekf7J9N5WUnlIJN5HKA/rmYdUHumXTK88pM1DIvE+Ytnq2DHg1i3g4kWusyFyX0nSH5ne5iGVh0TifSpUAEJCgMuXgfXreVvDhlzrXJI+yfTKQy5bSSTeJygIqFKF38+cya9pXb9D4lsy/bKV9LaSSHyDWLo6fZpfpb0jfSO9reTMQyLxCUJ5AECWLEDt2n4biiQNkDOP/7SnTE8ikXgXtfKoXx+Qz2vpG1eyM8MrD7PZLBWHROID1JHkDRr4bxyStMGV7JTKQyKRpAlhYcr7AgX8Nw5J2iCVh1QeEolPiIpS3mfJ4rdhSNKITK88kpKSpKeVROID9u1T3p87579xSNIGV7IzwyuPxMRE6WklkfiAvXuV99aFoSTpD1eyUyoPiUSSJvxXOwgAsGOHtraHJP2R6ZWHXLaSSHzDJ58AH33E7wsV8u9YJKkn0y9bSeUhkfiGkBBg4kQuCnXyJNf5kKRfXMnODC9VpfKQSHxLnjz+HoEkLZAzD6k8JBKJxGO8rjySkpKwd+9ekB3rWGxsLPbs2YODBw/CYrE4PP6PP/7A3r17kZCQYLcPEeHYsWPYuXMnoqOjPRqfxWKBXp/hdaREIpGkKa5kZ6qk6v3799GyZUs0adIEUeoIIQArVqxA+fLlERERgXr16qFWrVo4cuSIps+ePXtQvXp1NGjQAE2aNEHFihWxadMmTZ8zZ86gWbNmqFGjBpo3b44yZcpg/vz5bo9RzjwkEonEc7w287h+/Tpq1qyJXf8VK86ePXvyvm3btqFbt26oUaMGjhw5gp07d8JoNKJt27bJSubvv/9GmzZtkD17duzevRuHDh1ClSpV0KlTJ/z9998AgIcPH6Jly5a4ceMG1q1bh7/++gudO3fGwIEDsXnzZrfGKSPMJRKJxHNcyk5KIcePH6eOHTvSiBEjCAA9evQoeV/NmjWpfv36ZDabk7ddvXqVdDodzZo1i4iIevbsSUWLFqXHjx8n94mLi6M8efLQm2++SUREH330EQUHB9PVq1eT+1gsFqpZsya1aNHCrXG2atWK6tatm9LblEgkkkzJt99+S19++aXD/Slez6lWrRpWrVqFL774AgAQEhICALh16xaOHDmCpUuXatbLSpQogZo1a2L79u0YPHgwNm/ejKFDhyI0NDS5T5YsWdC2bVts374dALBx40Z07NgRJUqUSO6j0+nQsWNHfPTRR4iPj0cWF0l0tm7dmtJblEgyBUSEpKQkmM1mmM1mmEwmmEwmJCUlwWKxICkpCYmJiUhKSkJSUhISEhKSP4tXcay6iWOTkpKSzynOazKZkvuJ4y0Wi01Tb1efl4iStxGRpp/Yp27qbUSUbKMlla3W3jZH6P7zQ9ZZ+SPrdDrodDro9Xro9XpNP/V20QwGg91tRqPR7nZ39okWFBSE4OBgzWej0Zh8TdFffZw4j8FgQN26dRGmznZpRaqNAZGRkQgNDU1WHocPHwYA1KxZ06ZvsWLFcOnSJVy6dAkPHjyw26do0aJYuXIlLBYLDh06hE6dOtntk5CQgNu3b6NUqVLJ2588eYK4uDgEBQXBYDAgNDQUw4cPx4kTJ6DX65O/QPUPoP6yjUYjgoODk79w9Rcp9onXoKCg5B9HbBfbDAZD8j71D2T9Xr1N/LBiXGJfUFCQNPh7CbUAshZU4rMQftbCy14/a0Fo71jrJoSpEMQJCQk2AlYtwNX91cLcZDIl7zeZTMkCPjExERaLRSO8RT+x3x1h6W3sCVG1cLV+FYLYYDBAp9Npjld/Fv2sBbq6AbbKwFopqBHKx1rxqJtQUgA0CsuZcrT+e7K33d4+bxIREZFsmrAmTZRHwYIFkz8Ljym1DUQghKnoo551qPvo9frkf0JHfQDYCNVZs2bhs88+g8lkAhEhJiYGOp0ORITExETExsYm/0Oqn6rUTfxDWT9N+Rv104b1E4j6H0T9TyWavX8a9TZH/1DO/tHsPXE5wtFTnvjDt/7Hc/SPaP0PaO8pVHxWC371P5vYHggC0x3E7yceTNQPGaKFhIQkP6yI1+zZsyc/2Fgfr+5n70FJfR3xgKV+QBLHqftZPxCJcaufetX9xUOWaJKUI/7erf/mxQOC+rP64UYtB9X71P9HeZwE7bhUHitXrsSNGzcQFxeHuLg41KlTB+3bt0/e/+DBAxRQJe/Ply9f8vYiRYpozvXgwQPkzZtX08ca0Sc4OBg5cuRw2Een09nc2NixYzF27FjNtunTp7u6Rbcwm82aqbr6KU5sF9vEE2ViYqLmadT6vXqb+onS+inDngBUN2sBa93HerpuPYV3JMStt1u/F7gSxPae8NTb1cpKbFdP+R0pPntPoeonT7WAtbckYH2c9dOv+hxqhWz9dKzuo14WsHesvZmletYbEhKiEejpEYvFgqFDh2L27Nn+HorXsFgsMBqNXn/ydwedTqd5kPAVLpXHpk2bcOfOHej1eoSGhqJMmTKa/bGxsZp1sWLFigEALly4gCpVqiRvt1gsOH78OAYMGIB8+fIhODgY58+ft7nesWPHUKtWreRzOepTsWJFu7MSb2EwGJA1a1afXc8aIsKff/6JunXr+m0M3kbMEH35D+BrzGYzRo4ciZkzZ/p7KF7DYrFgzpw5GV55OJttZwZcLqZ///332LRpEzZs2IBly5ahb9++mv1Zs2ZFfHx88ueyZcviqaeewq+//qrpt3v3bty/fx9169aF0WhEq1at8Ouvv2qeWq9evYqDBw8mC8i2bdtiw4YNmuDB2NhYbNiwIUMLUXs8efIEzZo18/cwvMqTJ0+QO3dufw/Dq8TFxXkUp5QeiY+Pz9APAEDmuEdXpNgSS0Q4cOAA4uLicO3aNWzduhUmkwk6nQ4DBw7EkiVL8OWXX+LRo0fYvn07evTogRIlSqBNmzYAgIEDB+LIkSMYMWIE7t+/j+PHj+O5555DcHAwXnnlFQDAq6++iujoaLz88su4du0aLl++jLZt2+Lu3bt47bXX0uYbSCdkhngVeY8ZA3mPmQRP/H7VrF27lgBo2t69e4mIKDExkUaNGkV6vT55X+XKlenw4cOac0ybNo2yZcuW3KdYsWK0YcMGTZ8VK1ZQ/vz5k/vkypWL5syZk9Jhp1vu3btHuXPn9vcwvIq8x4yBvMfMgY4oZW4nRIS7d+8me64YjUYUskrif/bsWRw9ehT58uVDixYt7Grq69evY//+/ciaNStat25tN27jwYMH2LFjB4gILVq0yPBLG/Z48uQJZs+ejbffftvfQ/Ea8h4zBvIeMwcpVh4SiUQiybzI6DOJRCKReIxUHhKJRCLxGJmrPACJiYnBvHnzcPXqVdSoUQMvv/yyy7TyJpMJW7ZswfXr1xEeHo6mTZumCz/0bdu2YevWrciRIwcGDBiAokWLOu1PRPj555+RJUsWvPTSSz4apfuYzWb8/PPPOHbsGEqVKoUBAwa4jEeKj4/HwoULcf78eVSqVAmvvvpqchaFQObEiRNYunQpAKBnz56oWrWqy2N27NiBkydPYsSIEV4eXer5/fffsXr1agQHB6Nfv34oW7asy2P++ecf7NixAyEhIWjVqpWNHThD4T9bvcQee/fupSJFilBISAiVK1eOdDodVa1ale7cuePwmKNHj1K5cuUIQLKHW8OGDenJkyc+HLlnxMXFUYcOHQgAlShRgnLmzElZs2alxYsXOz2mX79+BID69+/vw9G6x9WrV6lq1aqk0+mobNmyFBISQoUKFaKjR486PObEiRNUunRpMhqNVK5cOTIYDFS2bFm6fPmy7wbuIRaLhd566y3S6XRUoEABKliwIOl0Opo4caLTY6ZMmUI6nY5q1qzpw9F6TlJSEr366qsEgIoUKUJ58+Ylo9FIM2bMcHiMyWSiMWPGkE6nI51ORwAoS5YstGzZMh+O3LdI5RFAREdHU8GCBalu3bp05coVImLhUrBgQerevbvdY27fvk2hoaFUq1YtOnHiBCUlJdH8+fMJgNM/dn8zevRoCg4OpuXLl5PFYqGYmBjq3bs3Zc2alf7991+7x7z88stkMBgoJCSEBg8e7OMRO8disVCjRo2oWLFidPDgQSIi+vfff6l27doUHh6uKU8gSEhIoHLlylHlypXp7NmzRER04cIFKlu2LD377LM+Hb8n/PTTTwSAPvroIzKZTJSUlESffvopAaCdO3faPWbq1KkEgEJDQ6levXq+HbCHfP7556TT6eibb74hs9lM8fHxNHLkSNLpdHTq1Cm7x4wZM4aMRiN99tln9OTJE7p+/TrVqVOH8ubNS0lJST6+A98glUcAMW/ePAJAFy5c0GwXdU3szSQSExNp2bJlFBcXl7wtNjaWdDodjR8/3utjTgnx8fGULVs2GjNmjGb7zZs3yWAw0OzZs+0et2XLFjp8+DCVKVOG+vXr54uhus3hw4cJAP3yyy+a7Rs2bCAAdOTIEZtj1qxZQwDowIEDmu1z5swhAHTr1i2vjjml1KpVi1q2bKnZZjabqXjx4jRw4EC7xxw7dow2btxInTp1oho1avhimCnCYrFQsWLFqHfv3prtT548obCwMHr33XftHnf8+HE6dOiQZtv48eMJAMXHx3ttvP5EGswDiG3btqFhw4YoV66cZnuTJk2QmJiIgwcP2hwTFBSEbt26aeJj5s+fDyJCgwYNvD7mlLB//37ExsYmZxIQFC5cGOXLl8fu3bvtHte6dWvUrFkT0dHRdrM2+5Nt27YhR44c6NChg2Z7kyZNAMDuPW3btg3ly5dHnTp17B6zd+9eL4025URGRuLIkSPo3bu3Zrter0fjxo0d/nbVq1dH27ZtA/K3U/P333/jxo0bNveXLVs21K5d2+H9VatWLTknHwBER0dj8eLFqFmzZoZNYyKVRwBx7tw5PPXUUzbbRcr7+/fvOz3eYrFg6tSpGDFiBJ577rnkVDCBxrlz5wDARkkCfK/O7tNiseDhw4eaTM6BwLlz51C6dGkEBQVptoeGhiJLlix270n83taODeLeXP3e/uD8+fMgIrt/pwUKFHA55sjIyID77dSIEtgpvT+Ak8JGRETg1q1b+Pzzz9N8jIGCVB4BhNFotJve3GQyAYDTqok3b95Eq1atMHbsWAwYMACrV68O2CJSwnPM0b06u89Hjx7BbDYHnBeLM284R/fk6Bh3fm9/kZL7VBMZGRlwv52a1NwfEeH777/HM888g8jISPz2228ZOpmpdNX1AzNmzMD69esRHx+P2NhY5MuXD1u3bnX4ZHPnzh0A0JTjVXPq1Cm0bNkSBoMBmzdvxnPPPefV8bvLuXPnMHLkSMTGxiYX4vrqq6+SnzwjIyOTU/gL7ty549TlMyoqCoBSNyZQyJ8/P+7du2ez/cGDBzCbzShevLjdY+yVHBC/t71j/I347ezd6507d1yOOSoqKuB+OzXq+1NXKQWc3x8RYdiwYZg1axb69euHadOmIWfOnN4erl+RysMP1K5dO7mSWkhICEqVKgWdTocKFSpg2bJlNhk7Re6vypUr2z3foEGDYDQacejQoYB6qitQoAA6dOiQnPssZ86ceOaZZ3Dr1i0AwKFDhzTK486dO7h48SLGjx/v8JyJiYkAAu+pvEKFCrh58yZu3Lihuaf9+/cDgN0SAhUqVMCqVasQGxuLbNmy2RxTu3ZtL4/acwoXLoywsDAcOnRIUxSOiPD777+jS5cuTo9PTEwMuN9OTbly5aDX63Ho0CHN95+QkIDDhw/jvffes3vc9u3bMWvWLHz88ceYMGGCr4brX/xnq5dYs2vXLgJAGzduTN4WFRVFpUqVohYtWtg95ubNmwSAvvnmG18NM02oWLEitW/fXrNt3Lhxdr3N1Ny6dYsA0PLly709RI+4d+8eGQwG+vjjj5O3mUwmatmyJRUoUMCuq+6pU6cIAP3www/J2548eUJPP/00Va9e3SfjTgndu3ensmXLaryIli9fbtfbzJqCBQvSuHHjvD3EVNG0aVOqU6eO5jebMWMGAaB9+/bZPWbQoEFUuHDhDOuWaw+pPAIIs9lMjRo1otDQUPrwww9p4cKFVL58edLr9bRnz57kfps3b06OhTh27BgBoBYtWlCbNm2ofv36VL16dYqIiKDffvvNX7fikh9//JEAUIcOHejnn39ODv575ZVXkvv8+++/tH79+uTPGzZsoDfffJMAUEREhEOXXn8xZMgQ0uv19Oabb9KPP/5IzZo1IwCacR4+fDjZpdNisVCHDh0oJCSExo0bR4sWLaLq1asTAFqzZo2/bsMlR44cIYPBQDVq1KAffviBJk6cSAaDgapXr04mk4mIWAn+9NNPyQL4yJEjNGrUKMqVKxdVrlyZxo8fb1ehBgJbt25N/hv76aefaPjw4QSAWrZsSRaLhYiIIiMjk2OUiIheeOEFKlCgAHXp0oWaNm1KtWrVomeeeYYGDRpECQkJ/rwdryGVR4Dx+PFjGjVqFBmNRgJANWrUoO3btyfvj46OJgBUpUqV5M+tWrWi2rVrU/v27alHjx40cOBAatOmDc2cOdNft+EW69ato5IlSxIAypEjB3344YcUGxubvP+ZZ54hAHTv3j0iIho2bBjVqFGDqlevTtWrV6dBgwb5a+h2MZlMNH36dAoLC0uOnP/hhx+SBQwRUUhICAUFBSV/jouLo/fee49CQkIIAIWHh9PatWv9MXyPOHLkCNWqVYsAkNFopMGDB9Pt27eT97/xxhsEIPlvd9asWZrfrkWLFpSYmOiv4btk165dFB4enhwpPmbMGIqKikre365dOwKQHDT4/fffU40aNah58+bUpUsX6tOnD/Xt25ciIiLowYMH/roNryJTsgcoJpMJ8fHxmvrwgsmTJ6Nx48Zo1KiRH0aWthARoqOjERoaalPv5fDhw9i4cSPee++9dJGnS2CxWPD48WPkyJHDZtxLliwBEaFnz56a7WazGU+ePEFYWFi6uteYmBiEhITYuCjfvHkTn3/+OSZPnhzQNg5XREdHI1u2bDZeWOfOncOCBQswefLkTFtRUCoPiUQikXhMYAYCSCQSiSSgkcpDIpFIJB4jlYdEIpFIPEYqD4lEIpF4jFQeEolEIvEYqTwkEolE4jFSeUgkEonEY6TykEgkEonHSOUhkUgkEo/5P/TfbEyYvfctAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "idx = 0   # y向为1\n",
    "fig, ax = plt.subplots(figsize=(6,4))\n",
    "ax.plot(NodeDisp[:, 10, idx], Reaction[:, idx], c='b', label='X向')   # x向\n",
    "ax.tick_params(labelsize=15, width=1, length=6)\n",
    "ax.legend(prop={\"family\":\"SimSun\", \"size\":18})\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 绘制 截面弯矩曲率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2674, 50, 8)\n"
     ]
    }
   ],
   "source": [
    "EleSec= Results[\"EleSec\"]\n",
    "print(EleSec.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可有看出来，第1维度为时间。第2维度为积分点截面，因为10个单元，每个单元5个积分点截面，所以是50。\n",
    "第3维度为响应类型，依次为 轴向应变，绕z轴(y向)曲率，绕y轴(即z向)曲率，扭转应变，轴向力，绕z轴(y向)弯矩，绕y轴(即z向)弯矩，扭矩，上面都是局部坐标系下的。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 画最底部截面的弯矩-曲率滞回。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "以前我们在设置坐标变换时局部y与整体y重合，局部z与负整体x重合，所以绕y轴其实就是绕整体y轴，也就是纵平面。\n",
    "同理，绕局部z就是绕整体X，横向。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 250,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "idx = [1, 2]   # \n",
    "labels = [\"Z\", \"Y\"]\n",
    "colors = ['b', 'r']\n",
    "fig, axs = plt.subplots(1,2, figsize=(12,4))\n",
    "for i in [0, 1]:\n",
    "    ax = axs[i]\n",
    "    ax.plot(EleSec[:, 0, idx[i]], EleSec[:, 0, idx[i]+4], c=colors[i])   # x向\n",
    "    ax.tick_params(labelsize=15, width=1, length=6)\n",
    "    ax.set_title(f\"绕{labels[i]}轴\", fontfamily='SimSun', fontsize=18)\n",
    "    # ax.legend(prop={\"family\":\"SimSun\", \"size\":18})\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 画曲率沿墩高度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "height = [i*pier_ele_len/5 for i in range(50)]\n",
    "Data = np.max(np.abs(EleSec), axis=0)    # axis=0意味着沿时间尺度取最大值\n",
    "fig, axs = plt.subplots(1,2, figsize=(10,10))\n",
    "axs[0].plot(Data[:, 1], height,  c='b', label='绕Z轴(Y向)')   # x向\n",
    "axs[1].plot(Data[:, 2], height,  c='r', label='绕Y轴(X向)')   # y向\n",
    "for ax in axs:\n",
    "    ax.tick_params(labelsize=15, width=1, length=6)\n",
    "    ax.legend(prop={\"family\":\"SimSun\", \"size\":18})\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "因为我们X向加了更大的地震动，所以X向曲率自然更大，图也是这个趋势，说明我们的局部坐标系以及结果提取顺序是对的。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 最后"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "写着写着就不想写了，所以就写这么多吧。因为我尽量想参数化模型，所以代码显得抽象繁琐了点，但是一旦写好，参数化模型是非常容易的，只要更改前面的参数就好了，剩下的模型都是自动完成的。原则上，任何模型都可以按照上述思想进行参数化，只是可能要做一些变通。\n",
    "\n",
    "最近状态起伏较大，最近宿舍的事情也很恼火，所以图也懒得画好看了。以后可能会出一个系列，如何python来进行科学可视化。以后的事情，以后再说吧。\n",
    "\n",
    "谢谢大家一直以来的关注，希望这个爱好能一直坚持下去。祝大家端午安康。\n",
    "\n",
    "\n"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "057aa8b9199f87116a61a8e0342658106c51fc2c5ee337449a10a3dbf0dc97d7"
  },
  "kernelspec": {
   "display_name": "Python 3.9.12 ('base')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
